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distributed fault detection over sensor networks with Markovian switching topologies

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS 2014年第3-4期43卷 305-318页

作者： Ge, Xiaohua Han, Qing-Long Cent Queensland Univ Ctr Intelligent & Networked Syst Rockhampton Qld 4702 Australia

This paper deals with the distributed fault detection for discrete-time Markov jump linear systems over sensor networks with Markovian switching topologies. The sensors are scatteredly deployed in the sensor field and the fault detectors are physically distributed via a communication network. The system dynamics changes and sensing topology variations are modeled by a discrete-time Markov chain with incomplete mode transition probabilities. Each of these sensor nodes firstly collects measurement outputs from its all underlying neighboring nodes, processes these data in accordance with the Markovian switching topologies, and then transmits the processed data to the remote fault detector node. Network-induced delays and accumulated data packet dropouts are incorporated in the data transmission between the sensor nodes and the distributed fault detector nodes through the communication network. To generate localized residual signals, mode-independent distributed fault detection filters are proposed. By means of the stochastic Lyapunov functional approach, the residual system performance analysis is carried out such that the overall residual system is stochastically stable and the error between each residual signal and the fault signal is made as small as possible. Furthermore, a sufficient condition on the existence of the mode-independent distributed fault detection filters is derived in the simultaneous presence of incomplete mode transition probabilities, Markovian switching topologies, network-induced delays, and accumulated data packed dropouts. Finally, a stirred-tank reactor system is given to show the effectiveness of the developed theoretical results.

关键词： data packet dropouts sensor networks Markovian switching topologies distributed fault detection network-induced delays

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distributed fault detection and Dynamic Event-Triggered Consensus for Heterogeneous Multiagent Systems Under Deception Attacks

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2023年第8期70卷 3294-3304页

作者： Li, Shanglin Chen, Yangzhou Liu, Peter Xiaoping Beijing Univ Technol Coll Artificial Intelligence & Automation Beijing 100124 Peoples R China Beijing Univ Technol Engn Res Ctr Digital Community Minist Educ Beijing 100124 Peoples R China Carleton Univ Dept Syst & Comp Engn Ottawa ON K1S 5B6 Canada

This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks. During the information exchange and dissemination, a malicious attacker can make full use of specialized computer technology and launch stochastic deception attacks against some vulnerable agents over the network. The attack signals in actual operation tend to be energy-constrained, and Bernoulli distribution can be used to describe the random features. Taking the attack information into account, the distributed fault detection observer and the dynamic consensus compensator are designed in two separate steps. In order to reduce unnecessary information transmission, a dynamic event-triggered mechanism with output-dependent threshold is introduced to the adjustment of consensus protocol. According to Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions are derived for developing the model gains of the observer and the compensator. Finally, a simulation example of RLC circuit systems is provided to illustrate the effectiveness of the obtained theoretical results.

关键词： Observers fault detection Multi-agent systems Task analysis System performance Integrated circuit modeling Cyberattack distributed fault detection dynamic event-triggered consensus heterogeneous multiagent systems deception attacks

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distributed fault detection for a class of second-order multi-agent systems: an optimal robust observer approach

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IET CONTROL THEORY AND APPLICATIONS 2014年第12期8卷 1032-1044页

作者： Shi, Jiantao He, Xiao Wang, Zidong Zhou, Donghua Tsinghua Univ Dept Automat TNList Beijing 100084 Peoples R China Brunel Univ Dept Informat Syst & Comp Uxbridge UB8 3PH Middx England

In this study, the distributed fault detection and isolation problem for a class of second-order discrete-time multiagent systems (MASs) is studied by using an optimal robust observer approach. The work is based on an MAS with a mean square bounded consensus protocol. The authors prove that for this kind of system, a bank of optimal robust observers can be constructed for a certain agent to detect and isolate the possible faults of its neighbour agents. The main result of this study is to bring forward an existence condition for these observers, which is closely related to the topology structure of the MAS. For the detection of the faults injected in position states, they show that only the position information of the MAS is needed, but for the case of detecting faults in velocity states, both position and velocity measurements are needed. Simulation results are presented to illustrate the effectiveness of the results proposed in this study.

关键词： multi-agent systems fault diagnosis discrete time systems optimal control distributed fault detection second-order multiagent system optimal robust observer fault isolation problem discrete-time multiagent system MAS mean square bounded consensus protocol topology structure velocity state position measurement velocity measurement

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distributed fault detection in large-scale systems using hybrid extended information filter

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CHEMICAL ENGINEERING RESEARCH & DESIGN 2018年 132卷 285-294页

作者： Azarshab, Amin Shahbazian, Mehdi Petr Univ Technol Dept Instrumentat & Automat Ahvaz Iran

A fault monitoring system plays an important role to ensure and improve the reliability of an industrial plant to operate safely and efficiently. For large-scale systems, their high dimensional nature impels the designer to develop a lower-order algorithm to overcome the practical limitations. To reduce the order of computations and the amount of communication, the system should be decomposed into low-dimensional sub-systems. For this purpose, a distributed fault detection algorithm was presented based on hybrid extended information filter. This algorithm has the advantages of two existing approaches, the hybrid extended Kalman filter and the information filter. In the proposed method, several local fault detectors were employed to monitor the local sub-system instead of a single centralized monitoring node. For each detector, a limited number of measurements were accessible based on the generated local state and residual vectors using a local filter. The local detector extracted the faults' information content of the residual signals via CUSUM statistical hypothesis testing. Moreover, it could communicate the processed information of its neighbors if needed. The algorithm was implemented on alkylation of benzene process plant. The results obtained from the distributed algorithm showed a considerable decrease in computational burden and communication bandwidth. (C) 2017 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

关键词： distributed fault detection Large-scale systems Hybrid extended information filter CUSUM statistical hypothesis testing Alkylation of benzene process

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distributed fault detection for non-linear multi-agent systems: an adjustable dimension observer design method

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IET CONTROL THEORY AND APPLICATIONS 2019年第15期13卷 2407-2415页

作者： Liu, Xiuhua Han, Jian Wei, Xinjiang Zhang, Huifeng Hu, Xin Ludong Univ Sch Math & Stat Sci Yantai 264025 Peoples R China

This study is devoted to observer-based fault detection for non-linear multi-agent systems. Utilising the output information of the neighbour nodes, an adjustable dimension observer is designed, in which the dimension of the observer can be adjusted within a certain range. Thus, the trade-off between the detection performance and the detection cost can be obtained. Based on the observers constructed on one node, the fault in its neighbouring nodes can be detected. The disturbance is removed from the residual, which implies that the fault detection result is robust to the disturbance. The region pole constraints are introduced to improve the transient performance of the residual dynamic. Finally, simulation results are provided to indicate the effectiveness of the proposed technique.

关键词： control system synthesis multi-agent systems nonlinear control systems observers robust control fault diagnosis distributed fault detection nonlinear multiagent systems adjustable dimension observer design method neighbour nodes detection performance detection cost neighbouring nodes fault detection result

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distributed fault detection based on HMM for Wireless Sensor Networks 4

Distributed Fault Detection based on HMM for Wireless Sensor...

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4th International Conference on Systems and Control (ICSC)

作者： Saihi, Marwa Boussaid, Boumedyen Zouinkhi, Ahtned Abdelkrim, Naceur Univ Gabes Natl Sch Engineers Gabes Elect Engn & Automat Control Dept Zrig 6029 Gabes Tunisia

ISBN: (纸本)9781479983186

In their practical applications, Wireless Sensor Networks (WSNs) can experience faults during running. Furthermore, faulty data collected in the base station might lead to a wrong judgement. Since the whole system's performance require the accuracy of data, node fault detection is necessary. Motivated by the requirement of fault detection performance, we propose a distributed fault detection algorithm for wireless senor networks based on Hidden Markov Model (HMM). Firstly, a density of probability method is presented to obtain the possibility of translation of state for each node in the network. Then, a HMM is introduced to characterize the tendency of each node to be faulty. Finally, a distributed fault detection algorithm is proposed based on the HMM. Simulation results show that the proposed HMM-based fault detection achieves high detection accuracy.

关键词： Hidden Markov Model density of probability Wireless Sensor Networks distributed fault detection

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distributed fault detection in Smart Spaces Based on Trust Management 7

Distributed Fault Detection in Smart Spaces Based on Trust M...

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7th International Conference on Ambient Systems, Networks and Technologies (ANT) / 6th International Conference on Sustainable Energy Information Technology (SEIT)

作者： Guclu, Sila Ozen Ozcelebi, Tanir Lukkien, Johan Eindhoven Univ Technol Dept Math & Comp Sci Den Dolech 2 NL-5600 MB Eindhoven Netherlands

Application performance in a smart space is affected by faulty behaviours of nodes and communication networks. detection of faults helps diagnosis of problems and maintenance can be done to restore performance, for example, by replacing or reconfiguring faulty parts. fault detection methods in the literature are too complex for typical low-resource devices and they do not perform well in detecting intermittent faults. We propose a fully distributed fault detection method that relies on evaluating statements about trustworthiness of aggregated data from neighbors. Given one or more trust statements that describe a fault-free state, the trustor node determines for each observation coming from the trustee whether it is an outlier or not. Several fault types can be explored using different trust statements whose parameters are assessed differently. The trustor subsequently captures the observation history of the trustee node in only two evidence variables using evidence update rules that give more weight to recent observations. The proposed method detects not only permanent faults but also intermittent faults with high accuracy and low false alarm rate. (C) 2016 The Authors. Published by Elsevier B.V.

关键词： distributed fault detection intermittent fault outlier opinion extraction sensor nodes trust smart spaces reliable scalability

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distributed fault detection of Nonlinear Process Systems with Senor Failures 21st

Distributed Fault Detection of Nonlinear Process Systems wit...

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21st IFAC World Congress on Automatic Control - Meeting Societal Challenges

作者： Zhang, Langwen Xie, Wei Lian, Yindong South China Univ Technol Guangzhou 510640 Peoples R China

A distributed fault detection scheme is presented in this work to deal with the senor failures in a nonlinear process system. Firstly, a residual generator is derived, in which the fault signal is generated by introducing a residual signal. Then, a distributed extended Kalman Filter (EKF) is designed to estimate the unmeasurable system states. Finally, the proposed distributed EKF is used for the fault detection and isolation in a distributed framework. By applying the distributed fault detection scheme to a completely stirred tank reactor process, it is shown that the proposed scheme has ability to monitor the sensor faults automatically. Copyright (C) 2020 The Authors.

关键词： distributed fault detection distributed extended Kalman Filter Sensor faults Completely stirred tank reactor

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Multiple Hotelling's T² tests for distributed fault detection of large-scale systems

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COMPUTERS & CHEMICAL ENGINEERING 2020年 136卷 106807-000页

作者： Khatib, Shaaz Daoutidis, Prodromos Univ Minnesota Dept Chem Engn & Mat Sci Minneapolis MN 55455 USA

The distributed configuration is an effective approach for implementing Hotelling's T-2 test to detect faults in large-scale systems. Multiple T-2 tests are employed in the distributed configuration in which each test uses measurements from a different set of sensors. A decomposition (i.e. an allocation of the sensors among different sets called subsystems) must first be selected to implement the multiple T-2 tests. The detection performance of the multiple T-2 tests and their ability to satisfy certain operational constraints depend on the decomposition. We propose two methods that find a feasible decomposition of a large-scale system for which the detection performance of the multiple T-2 tests is near optimal. The methods first use greedy algorithms to generate many feasible candidate subsystems and decompositions. The methods then quickly evaluate the detection performance of these feasible candidates using easy to compute analytic expressions and finally select a feasible decomposition with the best performance. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： System decomposition distributed fault detection Hotelling's T-2 test Large-scale systems

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A data-driven distributed fault detection scheme based onsubspace identification technique for dynamic systems

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 2023年第7期33卷 3107-3128页

作者： Cheng, C. Wang, Q. Nikitin, Y. Liu, C. Zhou, Y. Chen, H. School of Computer Science and Engineering Changchun University of Technology Changchun China Department of Mechatronic Systems Kalashnikov Izhevsk State Technical University Izhevsk Russia School of Mechatronic Engineering and Automation Shanghai University Shanghai China School of Artificial Intelligence Shanghai University Shanghai China Institute of Energy Systems Energy Efficiency and Energy Economics TU Dortmund University Dortmund Germany Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta Canada

With the aid of the subspace technique and the average consensus algorithm, the main objective of this article is to develop a data-driven design of distributed fault detection for dynamic systems using the measurement in a complex sensor network. Specifically, the design process consists of two stages: distributed off-line learning and distributed online fault detection. Among them, the distributed off-line learning stage involves the average consensus algorithm and parameter identification by subspace technique. It is worth mentioning that, the distributed fault detection approach has the same performance as the centralized fault detection approach and avoids complex information exchange. In the end, a numerical simulation example and a case study of the three-phase flow facility are illustrated to show that the proposed distributed approach can accomplish the fault detection task successfully.

关键词： average consensus data-driven designs distributed fault detection sensor networks subspaceidentification

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