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Published in 2019 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-018-0682-9
Abstract: Most research in fault diagnosis of discrete event systems has been focused on permanent failures. However, experience with monitoring of dynamic systems shows that intermittent faults are predominant, and that their diagnosis constitutes one of…
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Keywords:
discrete event;
intermittent faults;
twin plant;
diagnosability ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3489601
Abstract: This paper presents a novel data-driven approach to fault diagnosability analysis for linear discrete-time systems. Current methods rely heavily on single evaluation functions based on distance similarity, which may not fully utilize directional information in…
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Keywords:
fault diagnosability;
distance direction;
data driven;
diagnosability ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3603424
Abstract: This research solves the problem of diagnosability enforcement in discrete event systems modeled by labeled Petri nets. Since fault diagnosis relies on system observations, the detection of the occurrence of faults can be interfered with…
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Keywords:
discrete event;
plant;
enforcement discrete;
diagnosability ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3631606
Abstract: Fault diagnosis in Internet of Things systems, where multiple distributed components interact asynchronously through communication buffers, poses significant challenges due to system scalability and communication uncertainties. To address this, this article studies the problem of…
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Keywords:
buffer places;
diagnosability consistency;
labeled petri;
via buffer ... See more keywords
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Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2016.2588736
Abstract: In this paper, we focus on two notions of diagnosability for labeled Time Petri net (PN) systems: $K$-diagnosability implies that any fault occurrence can be detected after at most $K$ observations, while $\tau$-diagnosability implies that…
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Keywords:
tex math;
diagnosability;
time;
inline formula ... See more keywords
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Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2025.3531787
Abstract: Language diagnosability captures the capability of the system to detect faults based on observations. When a system is not diagnosable, supervisory control can be used to enforce its diagnosability to prevent the faults from occurring…
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Keywords:
system;
time;
time interval;
active diagnosis ... See more keywords
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Published in 2022 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2021.3124159
Abstract: This article investigates weak diagnosability of discrete-event systems. Although diagnosability has been extensively investigated in the literature, weak diagnosability is a new concept introduced in this article. While diagnosability requires that a fault can be…
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Keywords:
discrete event;
weak diagnosability;
event systems;
diagnosability discrete ... See more keywords
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Published in 2019 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2017.2757456
Abstract: Modern industrial systems combine discrete and continuous behaviors and thus are hybrid systems (HSs). In this brief, we introduce a new definition of diagnosability of HSs called $h$ -diagnosability, and we present a method to…
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Keywords:
diagnosability hybrid;
hybrid systems;
diagnosability;
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Published in 2023 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2021.3129257
Abstract: In order to evaluate the reliability of a multiprocessor system, the fault diagnosability was introduced and utilized as a significant indicator. In the study of fault diagnosability, researchers usually concentrate on the diagnosability of the…
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Keywords:
tex math;
inline formula;
fault;
diagnosability ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3130245
Abstract: Fault diagnosability evaluation is important for monitoring and control system design. The evaluation results provide knowledge of the achievable performance of concerned systems from the fault diagnosis perspective. In this article, the diagnosability analysis of…
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Keywords:
evaluation;
diagnosability;
multiple time;
fault diagnosability ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3176045
Abstract: This article investigates diagnosability and $T$ -diagnosability for discrete-event systems modeled by unambiguous max-plus automata (UMPAs). More precisely, diagnosability requires that the occurrence of any fault can be detected within a finite number of events…
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Keywords:
tex math;
inline formula;
diagnosability;