Distributed fault detection and isolation for uncertain linear discrete time-varying heterogeneous multi-agent systems

Wang, Ping; Zou, Peilu; Yu, Chengpu; Sun, Jian

doi:10.1016/j.ins.2021.08.033

Cited by 14 publications

(3 citation statements)

References 31 publications

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“…Similarly, the authors in [12] used relative information between the agent and its neighbors to construct an observer and then successfully implemented fault detection and isolation of MAS. The authors in [13] constructed a distributed closed‐loop residual generator and used the finite‐horizon robust

{H}_{\infty }

filtering method to transform the fault diagnosis problem into an indefinite quadratic minimum problem. The authors in [14] proposed a distributed fault detection and isolation method for unmanned aerial vehicle (UAV) systems with noisy, which reduced communication and allowed timely detection of faulty leaders and followers.…”

Section: Introductionmentioning

confidence: 99%

A new belief rule base based distributed online fault diagnosis method for multi‐agent systems

Wang

Yang

et al. 2023

Asian Journal of Control

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In this paper, based on belief rule base (BRB), we studied the distributed online fault diagnosis problem of multi‐agent systems (MASs). To begin with, considering the distributed nature of MASs, by using the relative information between an agent and its neighbors, a distributed online fault diagnosis model is constructed. Next, for the results of fault diagnosis, when an agent doesn't get enough relative information to diagnose the fault, the fault diagnosis result may be inaccurate, and if there exist too many neighbors of an agent, the number of attributes of the proposed BRB fault diagnosis model will be too large, which will lead to large computation. To improve the performance of the proposed distributed online fault diagnosis model, a real‐time communication topology switching strategy was proposed. Under the constructed distributed fault diagnosis model, the real‐time performance and the accuracy of fault diagnosis for agents can be guaranteed simultaneously. Finally, a simulation is given to validate the effectiveness and advancement of the distributed online fault diagnosis method proposed in this paper.

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{H}_{\infty }

Section: Introductionmentioning

confidence: 99%

A new belief rule base based distributed online fault diagnosis method for multi‐agent systems

Wang

Yang

et al. 2023

Asian Journal of Control

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“…It is easy to see that the order of the actuator model in practice is not suitable for this prerequisite. To the best of the authors' knowledge, there is scarcely an open report on the fault diagnosis of actuation system based on MASs [26][27][28][29]. Therefore, it also remains challenging to apply the MAS-based method on the FDI for the actuation system.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous Multi-Agent-Based Fault Diagnosis Scheme for Actuation System

Cao

et al. 2022

Actuators

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In this paper, a fault diagnosis method of a heterogeneous multi-agent is proposed that realizes the rapid and accurate fault diagnosis of a redundant multi-type actuation system of large aircraft. Firstly, the multi-agent model of a large aircraft actuation system is established, the composition of the actuation system and the relationship between each multi-agent are clarified and three different types of actuator mathematical models are established. Secondly, a fault detection and isolation (FDI) model is established and transformed into an optimization problem according to different performance index requirements. Aiming at the optimization problem, combined with the principle of linear matrix inequality (LMI), the fault diagnosis algorithm of a heterogeneous multi-agent system is designed. Moreover, the threshold judgment method based on the error signal is presented. Finally, the three actuator models of the aileron actuation system of large aircraft are combined to complete the fault diagnosis of a heterogeneous multi-agent system under the given model interference and model fault. The obtained results demonstrate and validate that the proposed method can accurately and effectively diagnose the faults of the actuator and its associated actuators.

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“…Wang et al employed a finite-horizon robust filtering method designed using H ∞ optimization. They applied their method to the problem of distributed FDI in LDTV multi-agent systems with varying dynamics and bounded model uncertainties [11]. Wu et al utilized the parity space method through a recursive algorithm to supervise LDTV systems subject to multiplicative noise.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Principal Component Analysis and Fréchet-Distance-Based Algorithm for Fault Detection and Isolation in Industrial Processes

et al. 2022

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Fault Detection and Isolation (FDI) methodology focuses on maintaining safe and reliable operating conditions within industrial practices which is of crucial importance for the profitability of technologies. In this work, the development of an FDI algorithm based on the use of dynamic principal component analysis (DPCA) and the Fréchet distance δdF metric is explored. The three-tank benchmark problem is studied and utilized to demonstrate the performance of the FDI method for six fault types. A DPCA transformation for the system was established, and fault detection was conducted based on the Q statistic. Fault isolation is also of critical importance for proper intervention to mitigate fault effects. To identify the type of detected faults, the fault responses within the PC subspace were analyzed using the δdF metric. The use of the Fréchet distance metric for the isolation of faults combined with DPCA for feature extraction is a novel technique to the best of the authors’ knowledge that provides a robust computational tool with low computational cost for FDI purposes that fits well into the Industry 4.0 framework.The robustness and sensitivity of the method was validated for a wide variety of signal-to-noise ratio (SNR) conditions, with findings indicating a possible average false and missed alarm rate of 0.1 and a macro-averaged F-score above 0.8 in all cases.

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Distributed fault detection and isolation for uncertain linear discrete time-varying heterogeneous multi-agent systems

Cited by 14 publications

References 31 publications

A new belief rule base based distributed online fault diagnosis method for multi‐agent systems

A new belief rule base based distributed online fault diagnosis method for multi‐agent systems

Heterogeneous Multi-Agent-Based Fault Diagnosis Scheme for Actuation System

A Dynamic Principal Component Analysis and Fréchet-Distance-Based Algorithm for Fault Detection and Isolation in Industrial Processes

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