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IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN INDUSTRIAL ELECTRONICS 2024年第1期5卷 115-125页

作者： Rajabioun, Ramin Afshar, Mojtaba Mete, Mutlu Atan, Ozkan Akin, Bilal Yuzuncu Yil Univ TR-65080 Van Turkiye Univ Texas Dallas Richardson TX 75080 USA Texas A&M Univ COLLEGE STN TX 77843 USA

distributed bearing faults are highly common in industrial applications and display unpredictable vibration patterns impeding their detection. These faults stem from issues such as lubrication deficiencies, contamination, electrical erosion, roughness of the bearing surface, or the propagation of localized faults. This study aims to detect distributed bearing faults by utilizing a multisensory approach consisting of current, accelerometer, and fluxgate sensors. A novel 2-D deep learning framework is proposed, leveraging signals from six distinct sources, including three-axis vibration signals, stray magnetic flux signal, and two-phase current signals. Data are collected from 3- and 10-hp induction motors at 50 operational points, spanning ten speed levels and five torque levels. These six signals are transformed into matrices and combined to create a comprehensive matrix that provides an overall depiction of the bearing condition. The proposed deep learning architecture employs a 2-D convolutional model, which takes 2-D images as input and determines the bearing status. To evaluate the system's robustness, the data are divided into training and testing sets. The proposed model demonstrates remarkable effectiveness in detecting distributed bearing faults, achieving an impressive accuracy rate of 99.92%. Furthermore, a comprehensive comparison is provided, highlighting the impact of using various sets of inputs as sources for the deep learning model on the accuracy rate for each set. Through the analysis of the obtained results, a clear conclusion can be drawn: the model performs at its best when all six input sources are utilized.

关键词： Feature extraction Induction motors fault diagnosis Vibrations DC motors Brushless DC motors Indexes Deep learning (DL) distributed bearing fault detection distributed fault detection 2-D convolutional neural network (CNN)

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Energy minimization algorithm based on Bayesian approach for fault tolerant detection in wireless sensor network

Energy minimization algorithm based on Bayesian approach for...

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14th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

作者： Trab, Sourour Boussaid, Boumedyen Zouinkhi, Ahmed Abdelkrim, M. Naceur Univ Gabes MACS Res Unit Natl Sch Engn Gabes Gabes Tunisia

ISBN: (纸本)9781479929542

Wireless Sensor Networks (WSNs) have been a significant system considerably exploited in numerous fields including medical, environmental, military and household applications. Yet, its high energy consumption and its potential fault vulnerability still their major drawback. Both of these issues require the implementation of fault distributed detection methods, capable of distinguishing faulty nodes from normal ones while minimizing energy. Thus, several approaches are proposed to detect these distributed errors, mentioning the Bayesian approach insuring the best choice of a proper sensor neighbourhood size.. for best fault detection as well the energy conservation. In this paper, we define an energy minimization algorithm based on the Bayesian approach which ensures preventive sensor nodes pre-deployment against faults distribution. The Bayesian approach represents a study oscillating between Theory of Signal detection (TSD), fault tolerance and energy minimization by determining the optimal parameters required to achieve this fault tolerance detection. This method includes the error probability due to the sensor itself which is included in the fault detection scheme thus the network will be more accurate. The experimental simulations will join a perceptive study allowing to the best choice of algorithm inputs then we will prouve that the proposed algorithm is able to provide a better detection performance while optimizing energy in WSN.

关键词： Wireless sensor networks energy minimization Bayesian approach sensor node pre-deployment distributed fault detection fault tolerance

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Locating Open-Channels in Octagon Networks on Chip-Microprocessors 19

Locating Open-Channels in Octagon Networks on Chip-Microproc...

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19th IEEE-Computer-Society Annual Symposium on VLSI (ISVLSI)

作者： Bhowmik, Biswajit Biswas, Santosh Deka, Jatindra Kumar Bhattacharya, Bhargab B. NIT Karnataka Dept CSE Mangalore 575025 India IIT Bhilai Dept EECS Raipur 492015 Chhattisgarh India IIT Guwahati Dept CSE Gauhati 781039 Assam India IIT Kharagpur Dept CSE Kharagpur 721302 W Bengal India

ISBN: (纸本)9781728157757

Networks-on-chip (NoCs) provide the essential communication infrastructure for building today's on-chip multiprocessors. Albeit mesh is commonly used as the underlying interconnection architecture, other regular topologies such as octagons or spidergons, find recent applications to hybrid, small-world, and smart networks. Aggressive technology scaling, however, makes NoCs susceptible to manufacturing defects and causes failures in their operations. This paper presents a distributed, online built-in-self-test (BIST) mechanism that targets open faults on communication channels in an octagon NoC. We introduce a novel test scheduling scheme that exploits the knowledge of multithreading for reducing the overall test time with minimal degradation of performance. We evaluate the proposed test scheme for a 16-bit octagon NoC and report experimental results.

关键词： open-channel faults networks-on-chip distributed fault detection reliability and performance

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A robust semi-decentralized fault detection strategy for multi-agent systems An application to a network of micro-air vehicles

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INTERNATIONAL JOURNAL OF INTELLIGENT UNMANNED SYSTEMS 2013年第1期1卷 21-35页

作者： Davoodi, M. R. Khorasani, K. Talebi, H. A. Momeni, H. R. Tarbiat Modares Univ Elect Engn Tehran Iran Concordia Univ Elect & Comp Engn Montreal PQ Canada Amirkabir Univ Technol Elect Engn Tehran Iran

Purpose - The aim of this paper is to address the problem of fault detection (FD) of linear continuoustime multi-agent systems. Design/methodology/approach - A mixed H infinity/H_ formulation of the FD problem using semidecentralized filters is presented. Findings - It is shown that through a decomposition approach the drawbacks of the existing distributed FD design methods in multi-agent systems can be effectively tackled. An extended linear matrix inequality (LMI) characterization is used to reduce the conservativeness of the design solution by introducing additional matrices in order to eliminate the couplings of the Lyapunov matrices with the agent's matrices. Research limitations/implications - It is shown that by applying the proposed decomposition approach the FD problem of multi-agent systems can be solved by analyzing the problem of a set of decoupled systems whose order and complexity are equal to that of a single agent. This procedure will be useful for both simplifying the computational cost of the solution as well as for developing a fault detection filter having a semi-decentralized architecture. Practical implications - Application of this methodology to a network of micro-air vehicles (MAVs) illustrates the effectiveness and capabilities of the proposed design methodology. Social implications - The feasibility of the use of reliable and self-healing network of unmanned systems, cooperative networks, and multi-agent systems will be significantly enhanced and improved by the development of advanced fault detection and isolation (FDI) technologies. Originality/value - A semi-decentralized fault detection (FD) methodology is developed for linear multiagent networked systems to reduce the order and complexity of the observers at each agent. A mixed H infinity/H_ formulation of the FD problem by using semi-decentralized filters is presented. Using this approach each agent can not only detect its own faults but also is able to detect its nearest neighbor ag

关键词： distributed fault detection Multi-agent systems Micro-air vehicles Linear matrix inequality (LMI) Space vehicles Performance management

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Observer-based Adaptive fault-tolerant Consensus Tracking of Multi-agent Systems

Observer-based Adaptive Fault-tolerant Consensus Tracking of...

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China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)

作者： Zhao, Dan Fu, Junjie Southeast Univ Sch Cyber Sci & Engn Nanjing 211189 Jiangsu Peoples R China

ISBN: (纸本)9781538664452

This paper addresses the issue of adaptive fault-tolerant leader-follower consensus tracking (AFTLFCT) for multi-agent systems encountered with actuator fault and and external influence. For the follower agent, a distributed AFTLFCT protocol is proposed which consists of the neighbor observer and fault measurements. Sufficient criteria for AFTLFCT is derived for the systems under consideration, where Lyapunov stability functions and algebraic Ricatti equations are adopted. Finally, the simulation results is presented to illustrate the validity of the protocol design.

关键词： observer-based fault-tolerant consensus protocol distributed fault detection Lyapunov function multi-agent systems

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Architecture of Knowledge Retrieval Based on Multi-Agent Systems

Architecture of Knowledge Retrieval Based on Multi-Agent Sys...

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International Symposium on Knowledge Acquisition and Modeling

作者： Deng, Changjian Lan, Yao Chengdu Univ Informat Technol Dept Control Engn Chengdu 610225 Sichuan Peoples R China

ISBN: (纸本)9781424435296

Agent methodology represents a new way of analyzing, designing, and implementing complex soft-ware applications. Multi-Agent Systems (MAS) refer to all types of systems composed of multiple (semi-) autonomous components. To retrieval the knowledge in the fields of distributed fault detection or distributed fault tolerance, This paper have compared the characteristic of deliberative agent architectures with reactive agent architectures and hybrid agent architectures of MAS, proposed a hybrid intelligent agent model to solve the problem of fault learning The MAS program language of Jade and Lygon are applied to accomplish the different kinds of knowledge learning.

关键词： Multi-Agent Systems hybrid agent architectures Jade distributed fault detection knowledge learning

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A Reactive Scheme for Detecting Soft faults in Wireless Sensor Networks 1

A Reactive Scheme for Detecting Soft Faults in Wireless Sens...

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1st International Conference on Next Generation Computing Technologies (NGCT)

作者： Sharma, Krishna P. Sharma, T. P. Natl Inst Technol Dept Comp Sci & Engn Hamirpur HP India

ISBN: (纸本)9781467368094

Currently available fault detection approaches generally pursue high fault detection performance but neglect energy consumption due to high volume of messages exchanged during fault detection process. Therefore, in this work we propose a reactive distributed scheme for detecting faulty nodes. The scheme is able to detect transient and permanent faulty nodes accurately with very less false alarm rate. In our scheme, all nodes individually analyze their measured data for detecting any suspicious behavior through utilizing temporal correlation. If a node finds itself suspicious of possessing faulty data, only then it exchanges its readings with the nodes in same geographical area rather than exchanging too much messages after every specific interval as in other DFDs. The scheme utilizes the strength of both spatial and temporal correlation to find faulty nodes and reduces the message overhead during fault detection. The ns-2 based simulation results show that our scheme performs better by reducing communication overhead and detects faulty nodes with high accuracy as compared to existing DFD.

关键词： fault diagnosis distributed fault detection Transient fault Wireless sensor networks

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WSN implementation of DFD algorithm on SOFREL S550/WAVENIS Unit 15

WSN implementation of DFD algorithm on SOFREL S550/WAVENIS U...

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15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

作者： Saihi, Marwa Boussaid, Boumedyen Zouinkhi, Ahmed Abdelkrim, M. Naceur Gabes Univ Natl Sch Engineers Gabes MACS Res Unit O Khattab Rd Gabes 6029 Tunisia

ISBN: (纸本)9781479959075

Wireless Sensor Networks (WSN) can experience faults during deployment either due to its hardware malfunctioning or software failure or even harsh environmental factors. This results into presence of anomalies in their time-series collected data. So, these anomalies demand for reliable detection strategies to support in long term and/or in large scale WSN deployments. These data of physical variables are transmitted continuously to a repository for further processing of information as data stream. centralized fault detection based on centralized approach has become an emerging technology for building scalable and energy balanced applications for WSN. In our work, we try to implement the distributed fault detection (DFD) algorithm in a central unit named SOFREL S550 which represent the base station or the sink node and detects the suspicious nodes by exchanging heartbeat messages in active manner. By analyzing the collected heartbeat information, the unit finally identifies failed nodes according to a pre-defined failure detection rule.

关键词： Wireless Sensor Network distributed fault detection Decentralized approach Centralized approach

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Consensus Based Overlapping Decentralized fault detection and Isolation

Consensus Based Overlapping Decentralized Fault Detection an...

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Conference on Control and fault-Tolerant Systems (SysTol)

作者： Stankovic, Srdjan Ilic, Nemanja Djurovic, Zeljko Stankovic, Milos Johansson, Karl Henrik Univ Belgrade Fac Elect Engn Belgrade 11000 Serbia Royal Inst Technol Sch Elect Engn S-10044 Stockholm Sweden

ISBN: (纸本)9781424481545

In this paper a new distributed fault detection and isolation (FDI) methodology is proposed in the form of a multi-agent network representing a combination of a consensus based FDI observer for residual generation and a consensus based decision making strategy for change detection, applicable in real time. The proposed observer is based on overlapping system decomposition and a combination between the local optimal stochastic FDI observers and a dynamic consensus strategy. It is shown how the proposed algorithm can generate residuals which provide, under general conditions concerning local models and the network topology, high efficiency, scalability and robustness. The proposed decision making strategy provides solutions for two particular cases: a) local detection for non-overlapping parts of the identified subsystems;b) a consensus based strategy for FDI in the overlapping parts. One selected example illustrates the applicability of the proposed methodology in practice.

关键词： decentralized fault detection decision making distributed fault detection fault isolation fault location fault tolerant computing multi-agent systems multiagent network overlapping system decomposition

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distributed detection and Isolation of Topology Attacks in Power Networks

Distributed Detection and Isolation of Topology Attacks in P...

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1st ACM International Conference on High Confidence Networked Systems

作者： Weimer, James Kar, Soummya Johansson, Karl Henrik KTH Royal Inst Technol ACCESS Linnaeus Ctr Sch Elect Engn S-10044 Stockholm Sweden

ISBN: (纸本)9781450312639

This paper addresses the issue of detecting and isolating topology attacks in power networks. A topology attack, unlike a data attack and power injection attack, alters the physical dynamics of the power network by removing bus interconnections. These attacks can manifest as both cyber and physical attacks. A physical topology attack occurs when a bus interconnection is physically broken, while a cyber topology attack occurs when incorrect information about the network topology is transmitted to the system estimator and incorporated as the truth. To detect topology attacks, a stochastic hypothesis testing problem is considered assuming noisy measurements are obtained by periodically sampling a dynamic process described by the networked swing equation dynamics, modified to assume stochastic power injections. A centralized approach to network topology detection and isolation is introduced as a two-part scheme consisting of topology detection followed by topology isolation, assuming a topology attack exists. To address the complexity issues arising with performing centralized detection in large-scale power networks, a decentralized approach is presented that uses only local measurements to detect the presence of a topology attack. Simulation results illustrate that both the centralized and decentralized approaches accurately detect and isolate topology attacks.

关键词： distributed hypothesis testing distributed fault detection Power networks

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