WO2013172325A1 - 識別システム、識別方法及びプログラム - Google Patents
識別システム、識別方法及びプログラム Download PDFInfo
- Publication number
- WO2013172325A1 WO2013172325A1 PCT/JP2013/063374 JP2013063374W WO2013172325A1 WO 2013172325 A1 WO2013172325 A1 WO 2013172325A1 JP 2013063374 W JP2013063374 W JP 2013063374W WO 2013172325 A1 WO2013172325 A1 WO 2013172325A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- factor
- component
- irrelevance
- logical expression
- cut
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/008—Reliability or availability analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
Definitions
- the present invention relates to an identification system, an identification method, and a program, and more particularly, to an identification system, an identification method, and a program for identifying a condition that causes a component to become unrelated in the system, which is called a component unrelated factor.
- Fault tolerance systems are usually designed to cover component failures with redundancy. Failure of uncovered components can lead to system failure or subsystem failure even if there is sufficient redundancy. Therefore, an automatic coverage mechanism that suppresses system failures or subsystem failures includes a failure detection and isolation function and a system reconfiguration function. The reason is that if a failed component is not detected, it is not possible to switch to the spare corresponding to the failed component, and if the failed component is not isolated, the failed component will affect other non-failed components Because there is a fear.
- IPCM incomplete coverage model
- Identifying a component that is not relevant in a particular system state is different from identifying a component's irrelevance factor.
- Component irrelevance factors are state-independent and play an important role in system reliability analysis. More specifically, it is necessary to distinguish between a component failure that occurs before the occurrence of a component irrelevance factor and a component failure that occurs after the occurrence of a component irrelevance factor.
- the former may lead to system failure or subsystem failure if the failure is not covered.
- the component is already separated before the irrelevance factor occurs, the latter is not related to the failure coverage and does not affect the system. Therefore, although it is desired to cover unrelated components in the system, it is impossible to accurately analyze the reliability of the system (closed form solution) without knowing the unrelated factors of each component.
- One method of identifying component irrelevance factors is to test all components for irrelevance in each system state. If there is no component relevance in a certain system state, that state can be regarded as a component irrelevance factor.
- the coverage of irrelevant components is limited to several critical components, the coverage can be reduced by observing the occurrence of irrelevant components of the critical components rather than 100% testing in each system state. Can be executed more efficiently.
- non-patent document 2 and non-patent document 3 describe similarities to unrelated factors.
- an object of the present invention is to provide an identification system, an identification method, and a program that can identify an unrelated factor of the system even when the unrelated factor of the system is not manually set.
- the present invention relates to an irrelevance factor interpretation unit that calculates a logical expression of an irrelevance factor of a system component from a cut-set logical formula f of system failure, and an irrelevance calculated by the irrelevance factor interpretation unit It is an identification system having a minimum cut set evaluation means for minimizing a logical expression of a factor and calculating an unrelated factor of the component.
- the information processing apparatus calculates a logical expression of the irrelevance factor of the system components from the system failure cut-set logical expression f, and the information processing apparatus calculates the logical expression of the calculated irrelevance factor. Is an identification method for calculating an unrelated factor of the component.
- the present invention minimizes the logical expression of the component irrelevance factor from the system failure cut-set logical formula f, and minimizes the calculated logical expression of the irrelevance factor.
- the present invention can identify unrelated factors of system components even when the unrelated factors of the system are not set manually.
- FIG. 1 is a block diagram showing the configuration of the embodiment of the present invention.
- FIG. 2 is a flowchart showing the operation of the embodiment of the present invention.
- Boolean algebra formula is coherent if the Boolean algebra formula is monotonic and relevant for all variables.
- the system failure logic is generally treated as a Boolean formula that is initially coherent, and the failure of the covered component is a variable of the system failure logic. It is said.
- ⁇ represents the difference set operator.
- DNF additive normal form
- Theorem 1 (Calculation of minimum unrelated factors)
- f is a monotonicity formula and x is a variable of f.
- a and B are additive standard forms (DNFs) each composed of a plurality of (minimum) cut sets of f including a variable x and a plurality of (minimum) cut sets of f not including the variable x. ).
- DNFs additive standard forms
- the embodiment of the present invention includes a minimum cut set evaluation unit 110 and an unrelated factor interpretation unit 120.
- the minimum cut set evaluation unit 110 calculates a (minimum) cut set of a fault tree (or a model representing the logic of a system failure).
- the cut set need not be the minimum, but it is preferable to minimize the cut set in order to reduce the process of minimizing the next process and the factors.
- the logical expression of the component irrelevance factor generated by the irrelevance factor interpretation unit 120 is minimized.
- the irrelevant factor formula is defined as a logical product, and reduction rules and algorithms for minimizing the cutset can be applied to minimize the irrelevant factor formula. Because.
- the irrelevant factor interpretation unit 120 classifies (minimum) cut sets from the viewpoint of components, and calculates irrelevant factors of a certain component (variable) based on the classified (minimum) cut sets. .
- a component (variable) for calculating an unrelated factor is given to the unrelated factor interpreting unit 120.
- the unrelated factor interpretation unit 120 classifies the cut sets from the minimum cut set evaluation unit 110 into two groups depending on whether or not the component is included.
- the irrelevant factor interpretation unit 120 applies the above theorem 1 to the (minimum) cut sets classified into two groups, and logically includes all of the irrelevant factors of the component. Calculate the logical expression. Note that the structure of the calculated irrelevance factor does not need to be minimal, and the irrelevance factor may be minimized by inputting the calculated logical expression to the minimum cut set evaluation unit 110 again. it can.
- a logical expression representing the failure logic of the system is input to the minimum cut set evaluation unit 110 (step A1).
- the logical expression of the failure logic is a combination of component failures that cause a system failure.
- Fault logic formulas can be represented by fault trees or other combinatorial models.
- the failure logic formula is initially coherent and all components are initially relevant.
- the minimum cut set evaluation unit 110 calculates a cut set of the input logical expression (step A2).
- the calculation can be performed by an existing algorithm for the minimum cut set, for example, a method based on the conventional top-down configuration method of the binary decision graph (BDD).
- the component (variable) for calculating the unrelated factor is designated in the unrelated factor interpreting unit 120 (step A3).
- the irrelevance factor interpretation unit 120 classifies the cut sets from the minimum cut set evaluation unit 110 into two groups depending on whether or not the specified components are included (step A4).
- the unrelated factor interpretation unit 120 applies Theorem 1 to the (minimum) cut sets classified into two groups, and calculates the unrelated factor as a logical expression (step A5).
- the minimum cutset evaluation unit 110 determines the irrelevant factor indicated by the logical expression as the conventional binary decision graph described above.
- a method and algorithm based on the (BDD) top-down configuration method are applied and minimized (step A6).
- a failure logical expression representing a failure logic of a system is given, an unrelated factor of the system component can be identified.
- the system is composed of eight components, and the failure logic of the system is represented by the following logical expression.
- the same symbol x i is used, and the symbol x i represents a component and a covered fault of the component.
- the system is initially a coherent system, i.e. all components are relevant.
- component x 1 is an important component, and if that component is no longer relevant, it must be separated, and under any conditions component x 1 becomes irrelevant (no relation) That is, an example of identifying what is the minimum irrelevance factor of the component x 1 will be described.
- a logical expression f failures logic of the system is input to the minimum cutset evaluation unit 110 (step A1). Then, the minimum cut set evaluation unit 110 calculates the minimum cut set of the logical expression f (step A2). Then, a set of four minimum cut sets of the calculated logical formula f is expressed by the following formula.
- the irrelevance factor interpretation unit 120 calculates the logical expression T including the irrelevance factor of the component x 1 using the theorem 1 as described above (step 5).
- a 1 represents ⁇ x 1 , x 2 , x 3 , x 4 ⁇ of A
- a 2 represents ⁇ x 1 , x 2 , x 5 , x 6 ⁇ of A
- b 1 represents B represents ⁇ x 2 , x 4 , x 7 ⁇
- b 2 represents B's ⁇ x 2 , x 5 , x 8 ⁇ .
- T is the same as the definition of the cut set
- the unrelated factors are defined as logical products
- the reduction rules and algorithms for minimizing the cut set are also used to minimize the logical expression of the unrelated factors. It is because it is applicable to.
- the minimum irrelevance factor of component x 1 is expressed by the following equation.
- the component x 1 when any of the three smallest unrelated factors ( ⁇ x 4 , x 7 ⁇ , ⁇ x 7 , x 8 ⁇ ⁇ x 5 , x 8 ⁇ ) occurs, the component x 1 It becomes an unrelated component and needs to be separated.
- component x 1 when failure and components x 4 and component x 7, component x 1 is the component is not relevant in accordance with the definition 3, i.e., it expressed in the formula, And the logical product of ⁇ x 4 , x 7 ⁇ is an irrelevant factor of x 1 .
- component x 1 becomes an unrelated component according to definition 3.
- component x 5 and component x 8 which is one of the unrelated factors, fail, component x 1 becomes an unrelated component according to definition 3. That is, the logical product of ⁇ x 7 , x 8 ⁇ and the logical product of ⁇ x 5 , x 8 ⁇ are irrelevant factors of the component x 1 .
- the present invention eliminates the need to manually set the irrelevance factors of the system. Unrelated factors of system components can be identified. During maintenance, in a system having incomplete coverage, components that are not related to a system failure can be covered in a timely manner, and the reliability of the system can be improved.
- each unit may be configured by hardware or may be realized by a computer program.
- functions and operations similar to those of the above-described embodiments are realized by a processor that operates according to a program stored in the program memory.
- An unrelated factor interpretation unit that calculates a logical formula of an unrelated factor of a system component from a cut-set logical formula f of a system failure
- An identification system comprising: a minimum cut set evaluation unit that calculates a irrelevance factor of the component by minimizing a logical expression of the irrelevance factor calculated by the irrelevance factor interpretation unit.
- the irrelevant factor interpretation unit is The system failure cut set formula f is classified into A and B depending on whether or not it includes a variable corresponding to a component that identifies an unrelated factor, age, ( ⁇ and ⁇ are cut sets)
- the information processing device calculates a logical expression of the unrelated factors of the system components from the system failure cut-set logical expression f,
- the information processing apparatus is an identification method in which a logical expression of the calculated irrelevance factor is minimized to calculate the irrelevance factor of the component.
- the information processing apparatus calculates the cut set from the logical expression of the system failure by the same method as that of the logical expression of the calculated component irrelevance factor, minimizes the component
- the process of calculating the logical expression of the unrelated factor of the component is as follows:
- the system failure cut set formula f is classified into A and B depending on whether or not it includes a variable corresponding to a component that identifies an unrelated factor, age, ( ⁇ and ⁇ are cut sets)
- the program according to claim 7, wherein a logical expression of an unrelated factor of a component for identifying the unrelated factor is calculated based on
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Test And Diagnosis Of Digital Computers (AREA)
- Debugging And Monitoring (AREA)
- Hardware Redundancy (AREA)
Abstract
Description
ここで、f が単調性公式、x をfの変数とする。更に、
とする。ここで、AとBとは、それぞれ、変数xを含むfの複数の(最小)カットセットと、変数xを含まないfの複数の(最小)カットセットとで構成される加法標準形(DNFs)である。そして、xの最小の無関連性要因は、min (T) として計算できる。ここで、
である。
ここで、
は、コンポーネントxiのカバーされた故障を表す。但し、以下の説明では、理解を容易にするため、同じ記号xiを使用し、記号xiは、コンポーネントとそのコンポーネントのカバーされた故障とを表すものとする。障害論理によると、システムは、当初コヒーレントシステムである、即ち、全てのコンポーネントは関連性がある。
であり、{x4,x7}の論理積はx1の無関連性要因である。
前記無関連性要因解釈部により算出された無関連性要因の論理式を最小化して、前記コンポーネントの無関連性要因を算出する最小カットセット評価手段と
を有する識別システム。
システム障害のカットセット論理式fを、無関連性要因を識別するコンポーネントに相当する変数を含むか否かでAとBとに分類し、
とし、
(α、βはカットセット)
に基づいて、前記無関連性要因を識別するコンポーネントの無関連性要因の論理式を算出する
付記1に記載の識別システム。
付記1又は付記2に記載の識別システム。
情報処理装置は、前記算出された無関連性要因の論理式を最小化して、前記コンポーネントの無関連性要因を算出する
識別方法。
システム障害のカットセット論理式fを、無関連性要因を識別するコンポーネントに相当する変数を含むか否かでAとBとに分類し、
とし、
(α、βはカットセット)
に基づいて、前記無関連性要因を識別するコンポーネントの無関連性要因の論理式を算出する
付記4に記載の識別方法。
付記4又は付記5に記載の識別方法。
前記算出された無関連性要因の論理式を最小化して、前記コンポーネントの無関連性要因を算出する処理と
をコンピュータに実行させるプログラム。
システム障害のカットセット論理式fを、無関連性要因を識別するコンポーネントに相当する変数を含むか否かでAとBとに分類し、
とし、
(α、βはカットセット)
に基づいて、前記無関連性要因を識別するコンポーネントの無関連性要因の論理式を算出する
付記7に記載のプログラム。
をコンピュータに実行させる付記7又は付記8に記載のプログラム。
120 無関連性要因解釈部
Claims (9)
- システム障害のカットセット論理式fから、システムのコンポーネントの無関連性要因の論理式を算出する無関連性要因解釈部と、
前記無関連性要因解釈部により算出された無関連性要因の論理式を最小化して、前記コンポーネントの無関連性要因を算出する最小カットセット評価手段と
を有する識別システム。 - 前記最小カットセット評価手段を、前記システム障害の論理式からカットセットを算出して最小化するために用いる
請求項1又は請求項2に記載の識別システム。 - 情報処理装置は、システム障害のカットセット論理式fから、システムのコンポーネントの無関連性要因の論理式を算出し、
情報処理装置は、前記算出された無関連性要因の論理式を最小化して、前記コンポーネントの無関連性要因を算出する
識別方法。 - 情報処理装置は、前記算出されたコンポーネントの無関連性要因の論理式の最小化と同じ手法により、前記システム障害の論理式からカットセットを算出して最小化後、コンポーネントの無関連性要因の論理式の算出を行う
請求項4又は請求項5に記載の識別方法。 - システム障害のカットセット論理式fから、コンポーネントの無関連性要因の論理式を算出する処理と、
前記算出された無関連性要因の論理式を最小化して、前記コンポーネントの無関連性要因を算出する処理と
をコンピュータに実行させるプログラム。 - 前記算出されたコンポーネントの無関連性要因の論理式の最小化と同じ手法により、前記システム障害の論理式からカットセットを算出して最小化後、コンポーネントの無関連性要因の論理式の算出を行う処理を
をコンピュータに実行させる請求項7又は請求項8に記載のプログラム。
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US14/401,686 US20150143176A1 (en) | 2012-05-17 | 2013-05-14 | Identification system, identification method, and program |
JP2014515627A JPWO2013172325A1 (ja) | 2012-05-17 | 2013-05-14 | 識別システム、識別方法及びプログラム |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2012113652 | 2012-05-17 | ||
JP2012-113652 | 2012-05-17 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2013172325A1 true WO2013172325A1 (ja) | 2013-11-21 |
Family
ID=49583730
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2013/063374 WO2013172325A1 (ja) | 2012-05-17 | 2013-05-14 | 識別システム、識別方法及びプログラム |
Country Status (3)
Country | Link |
---|---|
US (1) | US20150143176A1 (ja) |
JP (1) | JPWO2013172325A1 (ja) |
WO (1) | WO2013172325A1 (ja) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2015173846A1 (en) * | 2014-05-14 | 2015-11-19 | Nec Corporation | A persistence identifying system, method, and program |
JP7413225B2 (ja) | 2020-10-07 | 2024-01-15 | 三菱重工業株式会社 | 妥当性確認方法、妥当性確認システム及びプログラム |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9715423B1 (en) * | 2016-01-08 | 2017-07-25 | Dell Products, L.P. | Automatic mapping out of the faulty device/drivers during system boot-up |
CN112613269B (zh) * | 2020-12-28 | 2023-02-24 | 武汉理工大学 | 一种基于无关性覆盖模型的系统最佳冗余度计算方法 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04302364A (ja) * | 1991-03-29 | 1992-10-26 | Nippon Telegr & Teleph Corp <Ntt> | 故障解析方式 |
JP2853215B2 (ja) * | 1989-11-13 | 1999-02-03 | 富士ゼロックス株式会社 | ネットワーク信頼性解析システム |
JP2000235507A (ja) * | 1999-02-16 | 2000-08-29 | Toshiba Corp | システムの信頼性設計装置及び方法並びにシステムの信頼性設計用ソフトウェアを記録した記録媒体 |
WO2011132730A1 (ja) * | 2010-04-22 | 2011-10-27 | 日本電気株式会社 | ランタイムシステムの故障の木解析の方法、システム及びプログラム |
JP2012008744A (ja) * | 2010-06-23 | 2012-01-12 | Inst Nuclear Energy Research Rocaec | 原子力発電プラント用コンピュータ支援トップ論理によるリスクの定量的評価方法。 |
-
2013
- 2013-05-14 JP JP2014515627A patent/JPWO2013172325A1/ja active Pending
- 2013-05-14 WO PCT/JP2013/063374 patent/WO2013172325A1/ja active Application Filing
- 2013-05-14 US US14/401,686 patent/US20150143176A1/en not_active Abandoned
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2853215B2 (ja) * | 1989-11-13 | 1999-02-03 | 富士ゼロックス株式会社 | ネットワーク信頼性解析システム |
JPH04302364A (ja) * | 1991-03-29 | 1992-10-26 | Nippon Telegr & Teleph Corp <Ntt> | 故障解析方式 |
JP2000235507A (ja) * | 1999-02-16 | 2000-08-29 | Toshiba Corp | システムの信頼性設計装置及び方法並びにシステムの信頼性設計用ソフトウェアを記録した記録媒体 |
WO2011132730A1 (ja) * | 2010-04-22 | 2011-10-27 | 日本電気株式会社 | ランタイムシステムの故障の木解析の方法、システム及びプログラム |
JP2012008744A (ja) * | 2010-06-23 | 2012-01-12 | Inst Nuclear Energy Research Rocaec | 原子力発電プラント用コンピュータ支援トップ論理によるリスクの定量的評価方法。 |
Non-Patent Citations (2)
Title |
---|
J. B. DUGAN ET AL.: "Dynamic fault tree models for fault tolerant computer systems", IEEE TRANSACTIONS ON RELIABILITY, vol. 41, no. 3, September 1992 (1992-09-01), pages 363 - 377, Retrieved from the Internet <URL:http://ieeexplore.> [retrieved on 20130627] * |
MARC BOUISSOU ET AL.: "A new formalism that combines advantages of fault trees and Markov models: Boolean logic driven Markov processes", RELIABILITY ENGINEERING AND SYSTEM SAFETY, vol. 82, no. 2, November 2003 (2003-11-01), pages 149 - 163, Retrieved from the Internet <URL:http://journals.ohiolink.edu/ejc/pdf.cgi/BouissouMarc.pdf?issn=09518320&issue=v82i0002&article=149_anftcambldmp> [retrieved on 20130627] * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2015173846A1 (en) * | 2014-05-14 | 2015-11-19 | Nec Corporation | A persistence identifying system, method, and program |
JP7413225B2 (ja) | 2020-10-07 | 2024-01-15 | 三菱重工業株式会社 | 妥当性確認方法、妥当性確認システム及びプログラム |
Also Published As
Publication number | Publication date |
---|---|
US20150143176A1 (en) | 2015-05-21 |
JPWO2013172325A1 (ja) | 2016-01-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10649882B2 (en) | Automated log analysis and problem solving using intelligent operation and deep learning | |
US10359773B2 (en) | Safety assurance using fault trees for identifying dormant system failure states | |
WO2011132730A1 (ja) | ランタイムシステムの故障の木解析の方法、システム及びプログラム | |
WO2013172325A1 (ja) | 識別システム、識別方法及びプログラム | |
Gujral et al. | Classifying bug severity using dictionary based approach | |
US10163060B2 (en) | Hierarchical probability model generation system, hierarchical probability model generation method, and program | |
CN110489773B (zh) | 故障树中的闭环 | |
US11853048B2 (en) | Control method and device that resolves closed loops in automatic fault tree analysis of a multi-component system | |
Dhouibi et al. | Automatic decomposition and allocation of safety integrity level using system of linear equations | |
Kaur et al. | Various techniques to detect and predict faults in software system: survey | |
Samarakoon et al. | System abnormality detection in stock market complex trading systems using machine learning techniques | |
US20230222140A1 (en) | Systems and methods for automatically deriving data transformation criteria | |
WO2015037066A1 (ja) | プラント事故時運転支援システム及びプラント事故時運転支援方法 | |
Chandrasekaran et al. | Test & evaluation best practices for machine learning-enabled systems | |
Reed et al. | Verification and validation of system health management models using parametric testing | |
WO2015104733A1 (en) | Persistence of relevance identifying system, method, and program | |
US11526162B2 (en) | Method for detecting abnormal event and apparatus implementing the same method | |
JP2009151420A (ja) | ソフトウェア動作監視装置、プログラム | |
US20210110284A1 (en) | Method and system for automatic error diagnosis in a test environment | |
CN112925806A (zh) | 基于关联规则的性能退化特征参数提取方法、系统、介质及设备 | |
WO2014083589A1 (en) | A System, Method, and Program for Identifying Irrelevancy Triggers of Components | |
EP3969974B1 (en) | Ring-closures in fault trees and normalized representation | |
Kodali et al. | A framework to debug diagnostic matrices | |
Oliveira et al. | Combining multiple diagnostic trouble codes into a single decision tree | |
WO2015173846A1 (en) | A persistence identifying system, method, and program |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 13791062 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 2014515627 Country of ref document: JP Kind code of ref document: A |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
WWE | Wipo information: entry into national phase |
Ref document number: 14401686 Country of ref document: US |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 13791062 Country of ref document: EP Kind code of ref document: A1 |