IEC TR 63039:2016
(Main)Probabilistic risk analysis of technological systems - Estimation of final event rate at a given initial state
Probabilistic risk analysis of technological systems - Estimation of final event rate at a given initial state
IEC TR 63039:2016(E) provides guidance on probabilistic risk analysis (hereafter referred to as risk analysis) for the systems composed of electrotechnical items and is applicable (but not limited) to all electrotechnical industries where risk analyses are performed. This document deals with the following topics from the perspective of risk analysis:
- defining the essential terms and concepts;
- specifying the types of events;
- classifying the occurrences of events;
- describing the usage of modified symbols and methods of graphical representation for ETA, FTA and Markov techniques for applying those modified techniques complementarily to the complex systems;
- suggesting ways to handle the event frequency/rate of complex systems;
- suggesting ways to estimate the event frequency/rate based on risk monitoring;
- providing illustrative and practical examples. Please refer to the Introduction and Scope of the document for addition information regarding the events covered by and associated risks. This document defines the basic properties of events from the perspective of probabilistic risk analysis and use of dependability-related techniques for the analysis of occurrence of the final event that results in a final state in which the final consequences of a risk may appear. Keywords: probabilistic risk analysis, effects of uncertainty, events and associated risks
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IEC TR 63039 ®
Edition 1.0 2016-07
TECHNICAL
REPORT
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Probabilistic risk analysis of technological systems – Estimation of final event
rate at a given initial state
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IEC TR 63039 ®
Edition 1.0 2016-07
TECHNICAL
REPORT
colour
inside
Probabilistic risk analysis of technological systems – Estimation of final event
rate at a given initial state
INTERNATIONAL
ELECTROTECHNICAL
COMMISSION
ICS 03.120.01; 03.120.30 ISBN 978-2-8322-3511-9
– 2 – IEC TR 63039:2016 © IEC 2016
CONTENTS
FOREWORD . 5
INTRODUCTION . 7
1 Scope . 9
2 Normative references. 10
3 Terms, definitions and abbreviated terms . 10
3.1 Terms and definitions . 10
3.2 Abbreviated terms . 17
4 Difference between frequency and rate of final event . 17
5 Final event frequency and final event rate at a given initial state . 19
5.1 General . 19
5.2 Classification of final events . 19
5.3 Final event frequency in a steady state . 20
5.4 Final event rate at a given initial state and at a recognised state . 22
5.5 Relationship between final event rate and frequency at a given initial state . 22
6 Procedure for probabilistic risk analysis and flow to reach risk profile . 23
7 Techniques for quantitative analysis of the occurrence of a final event . 24
7.1 Graphical symbols for three types of final events . 24
7.1.1 General . 24
7.1.2 Repeatable final event . 24
7.1.3 Unrepeatable final event resulting in a renewable final state . 30
7.1.4 Unrepeatable final event resulting in an unrenewable final state . 30
7.2 Analytical example of an unrepeatable final event . 31
7.2.1 General . 31
7.2.2 Average final event frequency . 32
7.2.3 Final event rate at a given initial state . 34
8 Final event rate at a recognised state and recognised group state . 40
8.1 General . 40
8.2 Example of recognised (group) states . 40
9 Analysis of multiple protection layers . 43
9.1 General . 43
9.2 Frequency and rate for repeatable events . 45
9.2.1 General . 45
9.2.2 Independent of event sequence . 45
9.2.3 Depending on event sequence . 47
9.3 Final protection layer arranged in a 1-out-of-1 architecture system . 51
9.3.1 General . 51
9.3.2 Final event rate at initial state (0, 0) for unrepeatable final event . 51
9.3.3 Final event rate at recognised state (x, y) . 53
9.3.4 Final event rate at a recognised group state . 54
9.4 Final protection layer arranged in a 1-out-of-2 architecture system . 56
9.4.1 General . 56
9.4.2 Independent failure parts of the 1-out-of-2 architecture system . 57
9.4.3 Fault tree for independent undetected and detected failures . 58
9.4.4 Final event rate at a given initial state owing to independent failures . 58
9.4.5 Recognised states at each part . 59
9.4.6 Recognised (group) states and final states for the overall system . 60
9.5 Common cause failures between protection layers and complexity of a
system . 61
9.6 Summary and remarks . 61
Annex A (informative) Risk owing to fault recognised only by demand . 62
A.1 Demand, detection and failure logic . 62
A.2 Final event rate at a given initial state . 64
A.3 Comparison between new and conventional analyses . 65
A.4 Further development . 67
A.5 Summary and remarks . 68
Annex B (informative) Application to functional safety . 69
B.1 Risk-based target failure measures in functional safety . 69
B.2 Safe/dangerous system states and failures . 70
B.3 Complexity of safety-related systems . 72
B.4 Comparison between conventional and new analyses . 73
B.5 Splitting up mode of operation . 74
B.6 Tolerable hazardous/harmful event rate and residual risk . 75
B.7 Procedure for determining the safety integrity level (SIL) of an item . 75
B.8 Summary and remarks . 76
Bibliography . 77
Figure 1 – Antecedent state, final event, final state and renewal event . 18
Figure 2 – Time to final event (TTFE) and time to renewal event (TTRE) . 19
Figure 3 – State transition models with various final states . 21
Figure 4 – Procedure for analysis of repeatable/unrepeatable final events . 24
Figure 5 – FT for an unrepeatable final event resulting in an unrenewable final state . 31
Figure 6 – State transition model resulting in an unrenewable final state . 32
Figure 7 – FT for an unrepeatable final event resulting in a renewable final state . 35
Figure 8 – State transitions resulting in a renewable final state . 35
Figure 9 – FT for unintended inflation of an airbag due to failure of control . 38
Figure 10 – State transition model of unintended inflation of an airbag . 39
Figure 11 – Event tree of a demand source, int. PL and FPL for a risk . 44
Figure 12 – Failure of int. PL independent of event sequence . 46
Figure 13 – FT for failure of int. PL through sequential failure logic . 49
Figure 14 – FT for an unrepeatable final event at initial state (0,0) . 53
Figure 15 – State transition model for an unrepeatable final event at initial state (0,0) . 53
Figure 16 – FT for an unrepeatable final event for recognised state (0,1) . 54
Figure 17 – State transition model for recognised state (0,1) . 54
Figure 18 – FT for an unrepeatable final event for recognised group state G1 . 55
Figure 19 – State transition model for recognised group state G1. 56
Figure 20 – RBD of FPL arranged in a 1-out-of-2 architecture system . 57
Figure 21 – RBD of the independent parts of Ch 1 and Ch 2 . 57
Figure 22 – RBD equivalent to that in Figure 21 . 58
Figure 23 – FT for UD failure of Ch 1, D failure of Ch 2 and demand . 58
Figure 24 – State transitions due to UD failure of Ch 1, D failure of Ch 2 and demand . 59
– 4 – IEC TR 63039:2016 © IEC 2016
Figure A.1 – Reliability bock diagram with independent and common cause failures . 62
Figure A.2 – Fault tree of unrepeatable final event due to DU failures . 63
Figure A.3 – State transition model for unrepeatable final event caused by DU failures . 64
Figure A.4 – Comparison between analyses of r(λ ) and ϖ . 67
M
Figure B.1 – Comparison between conventional and new analyses . 74
Table 1 – Events and associated risks . 9
Table 2 – Symbols newly introduced for event tree and fault tree analyses . 25
Table 3 – Symbols and graphical representation for a repeatable (final) event . 26
Table 4 – Symbols and graphical representation for a renewable final state . 27
Table 5 – Symbols and graphical representation for an unrenewable final state . 29
Table 6 – Symbols and graphical representation for the FER at recognised state 3 . 41
Table 7 – Symbols and graphical representation for FER at recognised group state G . 42
Table B.1 – Relationship between failure modes, hazards, and safe/dangerous failures . 72
Table B.2 – Safety integrity levels (SILs) in IEC 61508 (all parts) . 76
INTERNATIONAL ELECTROTECHNICAL COMMISSION
____________
PROBABILISTIC RISK ANALYSIS OF TECHNOLOGICAL SYSTEMS –
ESTIMATION OF FINAL EVENT RATE AT A GIVEN INITIAL STATE
FOREWORD
1) The International Electrotechnical Commission (IEC) is a worldwide organization for standardization comprising
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The main task of IEC technical committees is to prepare International Standards. However, a
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example "state of the art".
IEC TR 63039, which is a Technical Report, has been prepared by IEC technical committee
56: Dependability.
The text of this Technical Report is based on the following documents:
Enquiry draft Report on voting
56/1655/DTR 56/1684/RVC
Full information on the voting for the approval of this Technical Report can be found in the
report on voting indicated in the above table.
This publication has been drafted in accordance with the ISO/IEC Directives, Part 2.
– 6 – IEC TR 63039:2016 © IEC 2016
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INTRODUCTION
This document defines the basic properties of events from the perspective of probabilistic risk
analysis and use of dependability-related techniques for the analysis of occurrence of the final
event that results in a final state in which the final consequences of a risk may appear (see
3.1.1, 3.1.10 and 3.1.17).
Techniques that are applied to risk analysis such as checklists, what-if/analysis, hazard and
operability (HAZOP) studies, event tree analysis (ETA), fault tree analysis (FTA), were
originated in the field of system safety and have been highly developed by bringing those
fields of dependability and system safety into connection for many years [11][14][17][34][35]
[36] . The analytical techniques described in IEC 61025, IEC 61165 and IEC 62502 are well
defined and systematised for dependability analysis. However it should be considered that
there are significant differences between the dependability and probabilistic risk analyses.
Firstly, states of an item such as the up, down, operating and non-operating states as well as
those events of failure and restoration are usually brought into focus in the dependability
analysis [5][7]. The probabilistic risk analysis is often concerned with not only those aspects
of the states and events related to the down and up but also states of demand and non-
demand, and initial, intermediate and final states, as well as such additional events as
demand, completion, final and renewal events (see 3.1.3, 3.1.8, 3.1.10, 3.1.11, 3.1.17 and
3.1.20).
Secondly, types of the final event should be considered for the probabilistic risk analysis
because systemic dependencies between items are often dominant over the occurrence of the
final event. Namely, the final events are categorised into the repeatable and unrepeatable
from the perspective of probabilistic risk analysis (see 3.1.18 and 3.1.19). In addition the
sequence of occurrences of events should be taken into account because the event sequence
often dominates the occurrence of the final event (see 7.2, 9.2, 9.3 and 9.4).
The quantitative measures targeted by the dependability analysis are mainly the failure rate,
failure frequency, repair rate, reliability, availability and maintainability, etc. of an item. Not
only those target measures but also additional measures such as rates and frequency of
those events of demand, completion and renewal, as well as risk exposure time should be
explicitly and comprehensively analysed for the probabilistic risk analysis (see 3.1.30).
When risk analysis is performed quantitatively, the event rate and frequency are generally
used for the target measures of occurrence of final event (see for instance Annex B). In this
document, the target measures of occurrence of final event are defined by such measures as
a final event frequency (FEF), average FEF, final event rate (FER) at a given initial state, and
FEF at a given initial state (see 3.1.21, 3.1.22, 3.1.25 and 3.1.26).
Such measures as FEF at a given initial state are newly introduced target measures for the
probabilistic risk analysis, which are quite different from those target measures of
conventional dependability analyses mentioned above, because such variables as demand
and completion rates and frequencies, as well as risk exposure time that have not been
applied to the conventional dependability analyses are explicitly introduced into the new
target measures. Therefore, those new measures should be defined and those conventional
techniques modifed appropriately for the application to the probabilistic risk analysis.
In addition it is inevitable for the risk analysis of complex systems that such analytic
techniques as the HAZOP, FMEA, RBD, FTA and Markov techniques should be applied
complementarily. This document illustrates how to orchestrate those modified techniques to
extract the maximum synergistic efficacy for the probabilistic risk analysis.
_____________
Numbers in square brackets refer to the Bibliography.
– 8 – IEC TR 63039:2016 © IEC 2016
Thus, this document aims at defining the target measures of occurrence of a final event by the
FER at a given initial state, FER at a recognised state and FER at a recognised group state
for the probabilistic risk analysis, and advises how to apply the modified techniques
complementarily to the analysis of those target measures by referring to the topics focusing
on risk analyses of nuclear power plants, airbag control, automated brake and steering control
systems for self-driving cars, system with fault recognised only by demand, as well as the
application of this document to functional safety.
It is generally believed that probabilistic risk analyses are more complicated than those of
dependability. However, this document will provide a much simpler and realistic approach for
probabilistic risk analyses compared to the conventional approaches, and will make it easier
to cope with the risks of complex systems (see Table 1, Clause 6, 9.1, 9.2, 9.5, Clauses A.5
and B.3).
PROBABILISTIC RISK ANALYSIS OF TECHNOLOGICAL SYSTEMS –
ESTIMATION OF FINAL EVENT RATE AT A GIVEN INITIAL STATE
1 Scope
This document provides guidance on probabilistic risk analysis (hereafter referred to as risk
analysis) for the systems composed of electrotechnical items and is applicable (but not
limited) to all electrotechnical industries where risk analyses are performed.
This document deals with the following topics from the perspective of risk analysis:
– defining the essential terms and concepts;
– specifying the types of events;
– classifying the occurrences of events;
– describing the usage of modified symbols and methods of graphical representation for
ETA, FTA and Markov techniques for applying those modified techniques complementarily
to the complex systems;
– suggesting ways to handle the event frequency/rate of complex systems;
– suggesting ways to estimate the event frequency/rate based on risk monitoring;
– providing illustrative and practical examples.
The relationship between the events covered by this document and associated risks are
described in Table 1. Risk is defined as the effect of uncertainty on objectives (see 3.1.1).
The uncertainty is here assumed to be composed of two elements: the epistemic and aleatory.
The epistemic is categorised into the known and unknown, and the effect of the aleatory is
classified into the controlled and the uncontrolled, respectively. Therefore, the risk associated
with the known event of which impact is controlled is the controlled risk, and the risk
associated with the known event of which impact is not controlled is the uncontrolled risk.
Favourable meta-risk is of an unknown event of which impact can be casually controlled even
if this unknown event appears, and unfavourable meta-risk is of an unknown event of which
impact cannot be controlled.
For example, the risks resulting from random hardware failures of electrotechnical items will
be categorised into the controlled or uncontrolled risks, while the risks owing to software bugs
could be classified into the favourable or unfavourable meta-risks. This document covers the
controlled and uncontrolled risks resulting from the events that can be assumed to occur
randomly and independently of time (see Clause 6, 9.1, 9.2, 9.5 and Clause B.3).
Table 1 – Events and associated risks
Epistemic
Known Unknown
Controlled Controlled
Controlled
Event risk Meta-risk
Uncontrolled Uncontrolled
Uncontrolled
Event risk Meta-risk
Aleatory
– 10 – IEC TR 63039:2016 © IEC 2016
2 Normative references
The following documents are referred to in the text in such a way that some or all of their
content constitutes requirements of this document. For dated references, only the edition
cited applies. For undated references, the latest edition of the referenced document (including
any amendments) applies.
IEC 60050-192, International Electrotechnical Vocabulary – Part 192: Dependability (available
at www.electropedia.org)
IEC 61703, Mathematical expressions for reliability, availability, maintainability and
maintenance support terms
3 Terms, definitions and abbreviated terms
3.1 Terms and definitions
For the purposes of this document, the terms and definitions given in IEC 60050-192 and
IEC 61703, as well as the following apply.
ISO and IEC maintain terminological databases for use in standardization at the following
addresses:
• IEC Electropedia: available at http://www.electropedia.org/
• ISO Online browsing platform: available at http://www.iso.org/obp
3.1.1
risk
effect of uncertainty on objectives
Note 1 to entry: Risk is often expressed in terms of a combination of the consequences of an event (including
changes in circumstances) and the associated likelihood of occurrence (see ISO Guide 73:2009, 1.1, Note 4).
Note 2 to entry: Safety-related risk is defined as the combination of the probability of harm and the severity of
that harm (see 3.9 in ISO/IEC Guide 51:2014).
Note 3 to entry: Residual risk is the risk remaining after risk treatment. The risk treatment includes the process to
modify any risk by protection layers in this document (see 3.8.1.6 in ISO Guide 73:2009, 7.2.1, 9.1 and Clause B.6).
[SOURCE: ISO Guide 73:2009, 1.1, modified — the notes from the original definition have
been replaced by new notes.]
3.1.2
state
3.1.2.1
state
particular condition which an item keeps in a specific time interval
Note 1 to entry: A fault is for example a state while a failure is an event. A state transition diagram describes
system states and state transitions (see 192-03-01 in IEC 60050-192:2015, and 3.1.4, 3.1.5 and 3.1.7).
3.1.2.2
state
property of a system being of certain duration
Note 1 to entry: States are classified into activated and inert states according to their degree of disorder (or
order). The activated state is in the lower degree of disorder (i.e., the higher degree of order) and the inert state is
in the higher degree of disorder. The measure of disorder of a system state is entropy that is also a measure of the
“multiplicity” associated with the system state (see 3.1.2.2, Note 4, 3.1.3, Note 2, and Clause B.2).
Note 2 to entry: If items interact with each other, an activated action can occur in their activated state, however in
their inert state the activated action cannot occur and an inert action is generated instead of the activated action.
Note 3 to entry: Activated actions are categorized into, for example, types of: a) energy transmission, b)
information propagation, c) agent transfer, d) supply obstruction, and e) the rest [16].
Note 4 to entry: Function is an ability of an item to generate activated action(s) or inert action(s) or both as
required (see 3.1.3, 3.1.13, 3.1.32, 3.1.33, 3.1.34, 7.2, 9.1, Clauses B.1, B.4, B.5 and B.6) [16].
3.1.3
demand state
state in which a function is demanded from a system
Note 1 to entry: Under a demand state an item is required to be operating to demonstrate its specific function(s),
i.e., to generate activated action(s) or inert action(s) or both as required (see 3.1.2.2, Note 4).
Note 2 to entry: A non-demand state is the state where a function is not demanded from a system, i.e., the item is
required to be in a non-operating state for a specific function(s) (see 192-02-06 in IEC 60050-192:2015).
Note 3 to entry: A state, for instance, in which a driver of automobile is activating the computer-regulated brake
control system to stop the automobile is a demand state for this function of the system, and the state in which the
driver is not activating this control system is a non-demand state for this function of the control system. The state
in which the driver is not activating this control system is the demand state for the additional function of this control
system to prevent unnecessary activation of the brake control function to stop an automobile from occurring, and
the state where the driver is activating the control system is the non-demand state for the additional function (see
9.3.1 b) and Clause B.2).
Note 4 to entry: A demand is defined as the start of a demand state, and a completion is defined as the
termination of the demand state. A demand and completion are events (see 3.1.4).
Note 5 to entry: Continuous mode of operation for a function is a mode of operation where a demand state for the
function lasts for use. The demand mode of operation of a function is that where those demand and non-demand
states, i.e., demands and completions appear alternately for use (see 7.2, 9.3, Clauses A.1, B.1, B.4, B.5 and B.7).
Note 6 to entry: Demand and operating states are not equivalent because of the possibility of two failure modes:
an item is operating under a non-demand state, and another item is not operating under a demand state (see 3.1.3,
Notes 1 and 2, and 9.3).
3.1.4
event
transition
change from one state to another state
Note 1 to entry: An event is the termination of a state or the start of a next state.
Note 2 to entry: In the context of risk analysis, a risk is often represented not only by verbal expressions but also
in terms of states and their transitions by use of a fault tree (FT), a state transition diagram, etc.
Note 3 to entry: Events are classified into intermediate and final events from the perspective of state transition
diagrams for representation of risks (see 3.1.16 and 3.1.17).
[SOURCE: IEC 61165:2006, 3.9, modified — the notes from the original definition have been
replaced by new notes.]
3.1.5
system
set of interrelated or interacting elements
Note 1 to entry: The structure of a system may be hierarchical. An overall system is composed of several
subsystems.
Note 2 to entry: For convenience the term “system state” will be used to denote a state of a system (see 3.1.7).
[SOURCE: ISO 9000:2015, 3.5.1, modified — notes have been added.]
3.1.6
element
component or set of components, which acts as a single entity
– 12 – IEC TR 63039:2016 © IEC 2016
3.1.7
system state
particular combination of the states of elements that compose a system
Note 1 to entry: The system state often consists of up, down, operating and non-operating states of items,
demand and non-demand states, and other environmental conditions outside of the items (see 3.1.5, Note 2).
3.1.8
initial state
system state in which a system originates the first state transition in a state transition diagram
that represents (a) risk(s)
Note 1 to entry: If a risk is identified, it can be represented not only verbally but also by use of such diagrams as
an event tree, FT, etc. for qualitative or probabilistic risk analyses (see for example Figure 3, Figure 9 and
Figure 10).
Note 2 to entry: If system state X is, for instance, an initial state, this is also expressed as initial state X.
3.1.9
virtual initial state
system state to which a virtual state transition from a final state is assumed to calculate MTFE
at a recognised state and FER at a recognised state
Note 1 to entry: See 3.1.10, 3.1.24, 3.1.25, 3.1.27 and 3.1.28.
Note 2 to entry: See for example Figure 17.
Note 3 to entry: If system state X is, for instance, a virtual initial state, this is expressed as virtual initial state X.
3.1.10
final state
system state in which the final consequences of a risk may appear
Note 1 to entry: The final consequence does not always appear in the final state because it may depend on the
sequence of appearances of int. states (see 3.1.11, 7.2, 9.2 and 9.3).
Note 2 to entry: A system enters the final state by a final event (see 3.1.17).
3.1.11
int. state
intermediate state
system state in a state transition diagram that represents (a) risk(s), which is not the initial or
final states
3.1.12
antecedent state
initial state, or, if it exists, any int. state in a state transition diagram that represents (a) risk(s)
Note 1 to entry: See 3.1.8 and 3.1.11.
Note 2 to entry: An antecedent state can be designated by use of a set of states such as up, down, operating,
non-operating, demand, non-demand, shutdown states, and other environmental conditions (see for example
Figure 3).
3.1.13
recognised state
antecedent state that is detected and/or recognised at a specific time
Note 1 to entry: Antecedent states are often (but not always) recognised by use of such means as self-diagnosis
functions of products, periodical tests of components, human recognition of circumstances, human recognition of
operation, etc., at a specific time.
Note 2 to entry: If an antecedent state of a system is a recognised state, then it can be recognised that the
system state is or is not in this antecedent state at a specific time, and vice versa.
Note 3 to entry: A final state is assumed to be recognised at any time in this document (see 9.3 and 9.4).
Note 4 to entry: Because there may be antecedent state(s) outside of monitoring and recognition, the antecedent
states are not always recognised and therefore classified into the recognised and not recognised states (see 3.1.15,
Note 1).
3.1.14
group state
set of two or more antecedent states that cannot be recognised as single antecedent states
Note 1 to entry: See 3.1.13, Note 4.
3.1.15
recognised group state
group state that is recognised at a specific time
Note 1 to entry: Suppose, for example, that antecedent states are system states A, B and C, and the recognised
state is system state C only, then the group state that is composed of A and B is the recognised group state,
because it can be recognised that the system is in this group state if it is recognised that the system is in neither
the system state C nor the final state at a specific time, and vice versa (see, 3.1.13, Notes 3 and 4).
3.1.16
int. event
intermediate event
state transition which is not the final or the renewable events
Note 1 to entry: See 3.1.4, 3.1.17 and 3.1.20.
Note 2 to entry: A state transition between antecedent states is an int. event, but not vice versa (see 3.1.18).
3.1.17
final event
start of the final state, i.e., a state transition from any antecedent state (or critical state) to the
final state
Note 1 to entry: See 3.1.10 and 3.1.12.
Note 2 to entry: A final event is also called a critical event, but not vice versa [7].
Note 3 to entry: This term may refer to a hazardous or harmful event in the field of (functional) safety [10].
3.1.18
repeatable final event
final event that can repeat
Note 1 to entry: See for example Figure 3.
Note 2 to entry: It is necessary for a repeatable final event that this final event does not affect the way of
appearance and disappearance of (an) int. state(s), because if a final event changes the way(s) of appearance and
disappearance of the int. state(s), the original system state(s) and the associated risk that results from the original
system state(s) will not remain any longer after the final event.
Note 3 to entry: The final state that results from a repeatable final event may cause transition to int. state(s) and
the final event may repeat (see 3.1.16, Note 2).
3.1.19
unrepeatable final event
final event that cannot repeat
Note 1 to entry: See for example Figure 3.
Note 2 to entry: If a final event changes the way(s) of appearance and disappearance of (an) intermediate state(s)
permanently then the final event cannot repeat, because the original system state(s) and the risk resulting from the
original system state(s) do not remain any longer after the final event (see 3.1.18, Note 2).
– 14 – IEC TR 63039:2016 © IEC 2016
Note 3 to entry: If a final state is transferred to the initial state and the system is renewed, the final event is the
unrepeatable final event because the renewed system state is different from the original system state (namely the
renewed system state is not the original system state itself).
3.1.20
renewal event
termination of a final state that results from an unrepeatable final event, causing transition to
an initial state or a virtual initial state
Note 1 to entry: The final state resulting from a repeatable final event may cause transition to an int. state(s) (see
3.1.18, Note 3).
3.1.21
event frequency
limit, if it exists, of the quotient of the mean number of occurrences of an event within time
interval [t, t+∆t], to ∆t, when ∆t tends to zero, given that the system is in a given initial state at
time t = 0
Note 1 to entry: Event frequency ω(t) is expressed in the formula
ω(t) = lim E[N(t + ∆t) − N(t)]/ ∆t
∆t→0+
where
N(t) is the statistically-expected number of occurrences of an event in the time interval [0, t], where E denotes the
expectation.
Note 2 to entry: The unit of measurement of event frequency is the unit of time to the power -1.
3.1.22
average event frequency
event frequency averaged over a period of time H
Note 1 to entry: Average event frequency of ω(t), ω(0,H), is defined as
H
ω(0, H ) = (1/ H ) ω(t)dt
∫
where
is event frequency at time t;
ω(t)
H
is the probability that an unrepeatable event occurs in the time interval [0, H] or is the statistically-
ω(t)dt
∫
expected number of occurrences of a repeatable event in the time interval [0, H].
3.1.23
state transition rate
conditional event intensity
limit, if it exists, of the quotient of the conditional probability that an event, i.e., a state
transition from system state X to Y, occurs within time interval [t, t+∆t], to ∆t, when ∆t tends to
zero, given that the system is in system state X at time t
Note 1 to entry: If the occurrence of an event follows an exponential distribution, i.e., an event occurs at random
and independently of time, then the conditional event intensity is constant and the constant conditional event
intensity is called a constant event rate or a constant state transition rate in this document (see Clauses 1, 5, 7, 9,
A.1 and B.1).
Note 2 to entry: The unit of measurement of event rate and state transition rate is the unit of time to the power -1.
3.1.24
MTFE at a given initial state
mean time to final event at a given initial state
mean time from an initial state or a virtual initial state to the occurrence of the first final event
Note 1 to entry: A given initial state means any antecedent state (see 3.1.8, 3.1.9, 3.1.12 and 3.1.20).
Note 2 to entry: The MTFE at a given initial state is similar to mean up time (MUT) rather than mean operating
time to failure (MTTF), however antecedent states include not only up, down, operating and non-operating states of
items but also demand, non-demand, shutdown states and other environmental conditions outside of the items (see
IEC 60050-192: 2015,192-05-11 and IEC 60050-192:2015,192-08-09).
3.1.25
FER at a given initial state
final event rate at a given initial state
limit, if it exists, of the quotient of the conditional probability that a final event occurs within
time interval [t, t+∆t], to ∆t, when ∆t tends to zero, given that the system, of which state
transition rates are constant, and of which final state causes transition only to an initial state
or a virtual initial state, is in a steady state and is not in the final state
Note 1 to entry: For the renewable system with constant state transition rates the FER at a given initial state
becomes constant and equals the reciprocal of the MTFE at a given initial state [18][19][27][29].
Note 2 to entry: The FER at a given initial state may refer to a harmful or hazardous event rate (HER) in the field
of functional safety (see 3.1.17, Note 3, 7.2, 9.3.2, Clauses B.1 and B.4).
Note 3 to entry: Steady state is the state of a system where infinite time has elapsed and the probabilities of all
systems states of a state transition diagram that represents (a) risk(s) converged to c
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