Parity space‐based optimal event‐triggered fault detection

Qiu, Aibing; Ji, Xiaolei; Wang, Shengfeng

doi:10.1049/cth2.12074

Cited by 4 publications

(5 citation statements)

References 39 publications

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“…To highlight the superiority of the proposed method, the FDFV of three methods is simulated under different fault magnitudes below. The FDFV is yielded by equation (11). The red curve represents the sample instants of injecting from 400 s to 800 s. suggested from figures 7 and 8, the FDFV of GLRT from 400 s to 1000 s rarely exceeds the threshold when the fault magnitudes are 1σ G and 2σ G , thereby leading to a mass of missing detections.…”

Section: Once Simulation Results Of Fault Detectionmentioning

confidence: 97%

“…There have been numerous hardware redundancy-based fault detection methods for multiple homologous navigation systems (e.g. the general likelihood ratio test (GLRT) [8,9], the optimal parity vector test (OPT) [10,11], the singular value decomposition (SVD) [12], and the chi-square test [13,14]). These methods are capable of examining the consistency of the measurement data to determine the presence of a fault [8].…”

Section: Introductionmentioning

confidence: 99%

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ALPF-GLRT based fault detection method for small faults applied to redundant IMUs

Li¹,

Chen²,

Wu³

et al. 2021

Meas. Sci. Technol.

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Since small faults exhibit a very close magnitude to sensor noises, the probability of missing detection (PMD) in existing methods will increase sharply in the presence of small faults. To address such a problem, this paper proposes a novel fault detection method for small faults applied to redundant IMUs. First, this method introduces an adaptive low-pass filter (ALPF) into the general likelihood ratio test (GLRT) by filtering the parity residuals of the GLRT model, thereby reducing the disturbance of sensor noises on fault detection. Subsequently, since the introduction of ALPF leads to the changes of the parity residual statistics, the covariance of parity residual should be recalculated at the respective sample instant. Lastly, to theoretically prove the superiority of the proposed method for small faults, the minimum detection bias (MDB) is derived and calculated, thereby validating that the MDB of the proposed method is lower than that of the conventional GLRT method. As indicated from the simulation results, the PMD of the proposed method decreases significantly for small faults compared with the GLRT method and the Monte Carlo PMD of the proposed method is 0.1% under the fault with the magnitude of 1 sigma, which demonstrates the effectiveness of the proposed method.

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Section: Once Simulation Results Of Fault Detectionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

ALPF-GLRT based fault detection method for small faults applied to redundant IMUs

Li¹,

Chen²,

Wu³

et al. 2021

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…[1] and the references therein). Generally, the fault diagnosis approaches can be classified to time-driven [1][2][3][4][5] and event-driven [6] approaches. Timedriven approaches can diagnose a fault occurrence by analyzing the states of the system based on the information received from the observation of the system's degraded performance over time [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

An inferencing structure for MPO‐based decentralized dynamic fault diagnosis

Khaleghi

Yazdi

Karimoddini

et al. 2021

IET Control Theory & Appl

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This paper addresses the problem of fault diagnosis in discrete event systems through a decentralized structure. Within the proposed decentralized diagnosis structure, local most permissive bbservers (MPOs) are employed as diagnosis tools, and an effective protocol is proposed to coordinate local MPOs to infer diagnosis information. It is shown that the proposed technique can diagnose fault occurrences subjected to proper sensing decisions.A sufficient condition on sensing decision policies is derived for diagnosis of faults in a decentralized setting. Further, it is proven that the proposed decentralized structure has less complexity than a centralized structure. The details of the proposed technique are illustrated by applying the developed method to a manufacturing system.

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“…However, due to the use of event-triggered technique, the remote monitoring center will lose some system information and the system characteristics will change, which increase some difficulties to remote fault detection [14], [15]. The research on event-triggered fault detection has received widespread attention in the past few years [16]- [22]. Basically, the existing event-triggered fault detection approaches, from the perspective of design idea, can be divided into two categories: the optimal identification based one and the performance tradeoff based one.…”

mentioning

confidence: 99%

“…In the framework of nonuniform sampled system, the residual generators in [20], [21] were time-varying whose parameters require online calculation. More recently, by introducing a novel parity vector based event-triggered mechanism, the parity space based event-triggered fault detection was also investigated in [22]. The influence of the event-triggered transmission error on false alarm rate was firstly quantitatively analyzed.…”

mentioning

confidence: 99%

Event-Triggered Diagnostic Observer Design Using the Performance Tradeoff Approach

Wang

et al. 2022

IEEE Access

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This paper presents an optimal diagnostic observer design scheme to deal with the remote fault detection problem for a local closed-loop system with unknown external disturbances and faults. To utilize limited network shared resources efficiently, an event-triggered generator is employed in the local closed-loop system to determine whether to transmit the current output measurement for fault detection. By constructing the error system that contains event-triggered transmission errors and evaluating the composition of the residual under the constraint of Luenberger conditions, the diagnostic observer which has optional order and flexible structure is designed by the use of factorization techniques to achieve the optimal performance tradeoff between disturbance robustness and fault sensitivity. Next, the inevitable influence of reference input on the residual is taken into account in the residual evaluation to deliver a time-varying threshold. Finally, a vehicle lateral dynamic system is presented to illustrate the validity of the proposed optimal diagnostic observer design scheme.

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Parity space‐based optimal event‐triggered fault detection

Cited by 4 publications

References 39 publications

ALPF-GLRT based fault detection method for small faults applied to redundant IMUs

ALPF-GLRT based fault detection method for small faults applied to redundant IMUs

An inferencing structure for MPO‐based decentralized dynamic fault diagnosis

Event-Triggered Diagnostic Observer Design Using the Performance Tradeoff Approach

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