A discrete event systems approach to discriminating intermittent from permanent faults

Almost all work on model-based diagnosis （MBD） potentially presumes faults are per- sistent and does not take intermittent faults （IFs） into account. Therefore, it is common for diag- nosis systems to misjudge IFs as permanent faults （PFs）, which are the major cause of the problems of false alarms,...

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Bibliographic Details
Published inChinese journal of aeronautics Vol. 27; no. 2; pp. 390 - 396
Main Authors Deng, Guanqian, Qiu, Jing, Liu, Guanjun, Lyu, Kehong
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.04.2014
Subjects
Delay
Diagnosability
Diagnoser
Diagnosis
Discrete event systems
Dynamic tests
Dynamical systems
Dynamics
Evolution
Fault diagnosis
Faults
IFS
Intermittent faults
Permanent faults
SIS系统
基于模型的诊断
故障判别
永久性故障
离散事件系统
航空电子设备
间歇性故障
Fault diagnosis
Discrete event systems
Diagnosability
Permanent faults
Diagnoser
Intermittent faults
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ISSN1000-9361
2588-9230
DOI10.1016/j.cja.2013.07.001

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Summary:Almost all work on model-based diagnosis （MBD） potentially presumes faults are per- sistent and does not take intermittent faults （IFs） into account. Therefore, it is common for diag- nosis systems to misjudge IFs as permanent faults （PFs）, which are the major cause of the problems of false alarms, cannot duplication and no fault found in aircraft avionics. To address this problem, a new fault model which includes PFs and IFs is presented based on discrete event systems （DESs）. Thereafter, an approach is given to discriminate between PFs and IFs by diagnosing the current fault. In this paper, the regulations of （PFs and IFs） fault evolution through fault and reset events along the traces of system are studied, and then label propagation function is modified to account for PFs and the dynamic behavior of IFs and diagnosability of PFs and IFs are defined. Finally, illustrative examples are presented to demonstrate the proposed approach, and the analysis results show the fault types can be discriminated within bounded delay if the system is diagnosable.
Bibliography:Almost all work on model-based diagnosis （MBD） potentially presumes faults are per- sistent and does not take intermittent faults （IFs） into account. Therefore, it is common for diag- nosis systems to misjudge IFs as permanent faults （PFs）, which are the major cause of the problems of false alarms, cannot duplication and no fault found in aircraft avionics. To address this problem, a new fault model which includes PFs and IFs is presented based on discrete event systems （DESs）. Thereafter, an approach is given to discriminate between PFs and IFs by diagnosing the current fault. In this paper, the regulations of （PFs and IFs） fault evolution through fault and reset events along the traces of system are studied, and then label propagation function is modified to account for PFs and the dynamic behavior of IFs and diagnosability of PFs and IFs are defined. Finally, illustrative examples are presented to demonstrate the proposed approach, and the analysis results show the fault types can be discriminated within bounded delay if the system is diagnosable.
Deng Guanqian, Qiu Jing , Liu Guanjun, Lyu Kehong（ Laboratory of Science and Technology on Integrated Logistics Support, College of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, China）
Diagnosability;Diagnoser;Discrete event systemsFault diagnosis;Intermittent faults;Permanent faults
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ISSN:1000-9361
2588-9230
DOI:10.1016/j.cja.2013.07.001