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Decentralised Fault Diagnosis of Large-Scale Systems: Application to Water Transport Networks
2015
IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes
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In this paper, a decentralised fault diagnosis approach for large-scale systems is proposed. ...
Finally, a decentralised fault diagnosis strategy is proposed and applied over the resultant set of partitions and ARRs. ...
If this is the case, the element In Table 4 , the fault signature matrix for the ARRs that
Conclusions In this paper, a decentralised fault diagnosis approach for large-scale systems based on graph-theory ...
dblp:conf/safeprocess/PuigO15
fatcat:tjflehnrwffmfpjnfeza67p4ju
2020 Index IEEE Transactions on Control of Network Systems Vol. 7
2020
IEEE Transactions on Control of Network Systems
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., +, TCNS June 2020 699-710 Distributed Fault-Tolerant Control of Large-Scale Systems: An Active Fault Diagnosis Approach. ...
., +, TCNS March 2020 74-84
Distributed Fault-Tolerant Control of Large-Scale Systems: An Active Fault
Diagnosis Approach. ...
doi:10.1109/tcns.2020.3048651
fatcat:ydlonetqinfcpaxiy4itp7tsw4
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152)
2016
Dagstuhl Reports
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Internet of Things (IoT) or Cyber-physical systems (CPS) bring out interesting new challenges to tensor computing, such as the need for real-time analytics and control in interconnected dynamic networks ...
This report documents the program and the outcomes of Dagstuhl Perspectives Workshop 16152 "Tensor Computing for Internet of Things". ...
The systems in these domains are real-time, show dynamic behavior, are time-varying, distributed and networked. ...
doi:10.4230/dagrep.6.4.57
dblp:journals/dagstuhl-reports/AcarAMRT16
fatcat:psomri4q4faapbjc4dot7ca3em
Differentially-Private Distributed Fault Diagnosis for Large-Scale Nonlinear Uncertain Systems
2018
IFAC-PapersOnLine
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Distributed fault diagnosis has been proposed as an effective technique for monitoring large scale, nonlinear and uncertain systems. ...
Abstract: Distributed fault diagnosis has been proposed as an effective technique for monitoring large scale, nonlinear and uncertain systems. ...
CONCLUSIONS This paper presented for the first time, to the best of the authors' knowledge, a differentially private approach to distributed fault diagnosis of large scale, nonlinear and uncertain systems ...
doi:10.1016/j.ifacol.2018.09.703
fatcat:py7ojmssxra5hiqnpwxahpkmei
Evaluation, Analysis and Diagnosis for HVDC Transmission System Faults via Knowledge Graph under New Energy Systems Construction: A Critical Review
2022
Energies
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Therefore, this work develops a knowledge graph technology-based fault diagnosis framework for HVDC transmission systems to remedy the aforementioned drawbacks, in which the detailed principle and mechanism ...
are introduced, as well as its technical framework for intelligent fault diagnosis decision. ...
It is relatively difficult to analyze and Relatively strong The difficulty of system modeling is avoided; Fault diagnosis based on AI Real-time fault detection; Large demand for data. ...
doi:10.3390/en15218031
fatcat:ljvg5vwhkjd4pm7wpr4kmtamzq
Robust Fault Estimation Using Relative Information in Linear Multi-Agent Networks
2014
IEEE Transactions on Automatic Control
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For this new subsystem, after modal decomposition based on the associated Laplacian, decoupled sliding mode observers, depending only on the individual node level dynamics of the network, can be created ...
In this paper a robust fault estimation method, based on sliding mode observers, is proposed for a collection of agents undertaking a shared task and exchanging only relative information over a communication ...
Using overlapping decomposition, the work described in [17] proposed a fault detection approach for discrete linear large scale systems. ...
doi:10.1109/tac.2013.2274689
fatcat:aw4ft5codveflg3sm3v77elhjy
A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network
2019
Complexity
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Firstly, the fault time-frequency graphs are obtained by wavelet time-frequency analysis. Then the time-frequency graphs data which are adjusted the pixel size are input into XCN for training. ...
Then the longest capsule is used to reconstruct fault time-frequency graphs which are used to measure the reconstruction of loss. ...
At the same time, we would like to thank Professor Wang Junyuan from North University of China for his guidance in the experimental section. ...
doi:10.1155/2019/6943234
fatcat:ap7afclulve6vfjgdd3z77uwrq
Wavelets and principal component analysis method for vibration monitoring of rotating machinery
2016
Journal of Theoretical and Applied Mechanics
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The vibration analysis is one of the most important methods used for condition monitoring and fault diagnosis, because it always carries the dynamic information of a system. ...
In this application, we use the Daubechies wavelet for fault diagnosis of the mass unbalance and gear fault. ...
doi:10.15632/jtam-pl.54.2.659
fatcat:rgzitjpgtzgnbpwgienuan6htm
New Bearing Fault Diagnosis Method based on Fine-to-Coarse Multiscale Permutation Entropy, Laplacian Score and SVM
2019
IEEE Access
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A novel entropy measure, named F2CMPE, was proposed by calculating permutation entropy via multiple-scale fine-grained and coarse-grained signals based on the wavelet packet decomposition. ...
Then, LS and SVM are used for selection of features and fault classification, respectively. ...
LAPLACIAN SCORE (LS) FOR FEATURE SELECTION The obtained F2CMPE features over all scales could be applied to discriminate bearing conditions for fault diagnosis purpose. ...
doi:10.1109/access.2019.2893497
fatcat:vgxsm4slarbobmspumlantrjwm
2020 Index IEEE Transactions on Cybernetics Vol. 50
2020
IEEE Transactions on Cybernetics
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., Reference Trajectory Reshaping Optimi-zation and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation; TCYB Aug. 2020 3740-3751 Wu, X., Jiang, B., Yu, K., Miao, c., and Chen, H ...
Torus-Event-Based Fault Diagnosis for Stochastic Multirate Time-Varying Systems With Constrained Fault. ...
., +, TCYB March 2020 1220-
1229
Torus-Event-Based Fault Diagnosis for Stochastic Multirate Time-Varying
Systems With Constrained Fault. ...
doi:10.1109/tcyb.2020.3047216
fatcat:5giw32c2u5h23fu4drupnh644a
Distributed Fault Diagnosis of Nonlinear Stochastic Systems with Monitoring Networks
2020
IEEE Access
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The design of a distributed fault detection and isolation filter is addressed for stochastic nonlinear systems subjected to multiple failure modes. ...
The detection nodes exchange post-processed information over a communication network. ...
The authors would like to thank the anonymous reviewers for their supportive and perceptive feedback. ...
doi:10.1109/access.2020.3011725
fatcat:bxihixb2tzcdbobrmv222mmdiu
An intelligent fault diagnosis method of variable condition gearbox based on improved DBN combined with WPEE and MPE
2020
IEEE Access
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By analyzing the vibration data of gearbox, an improved deep belief network (DBN) algorithm for gear fault diagnosis based on wavelet packet energy entropy (WPEE) and multiscale permutation entropy (MPE ...
Secondly, the energy entropy of wavelet packet and the entropy distribution of multiscale permutation are calculated respectively to form a combined feature matrix. ...
Shao et al [28] constructed an optimized DBN for the bearing diagnosis faults, and 18 time domain characteristics are enhanced. ...
doi:10.1109/access.2020.3008208
fatcat:rudxyrdamvftpomnd73zeelqym
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
2015
IEEE transactions on industrial electronics (1982. Print)
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The three-part survey paper aims to give a comprehensive review for real-time fault diagnosis and fault tolerant control with particular attention on the results reported in the last decade. ...
Citation: Gao, Zhiwei, Cecati, Carlo and Ding, Steven X. (2015) A survey of fault diagnosis and faulttolerant techniques-Part I: fault diagnosis With model-based and signal-based approaches. ...
Due to the time-varying frequency spectrum of the transient signals, suitable time-frequency decomposition tools are needed for real-time monitoring and fault diagnosis. ...
doi:10.1109/tie.2015.2417501
fatcat:rpajiww7u5dbtd4qri2ghwbz5e
Plant-wide fault and disturbance screening using combined transfer entropy and eigenvector centrality analysis
[article]
2019
arXiv
pre-print
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A monitoring chart of continuously calculated process element importance scores over multiple overlapping time regions can assist with incipient fault detection. ...
Ranking results combined with visual inspection of information transfer networks is also useful for root cause analysis of known faults and disturbances. ...
evolves through a process over time, ultimately allowing for more accurate diagnosis. ...
arXiv:1904.04035v1
fatcat:kovvjlo3mbf4vjrism7uhc6esq
Hierarchical Fault Diagnosis and Health Monitoring in Satellites Formation Flight
2011
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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Current spacecraft health monitoring and fault diagnosis practices involve around-the-clock limit-checking and trend analysis on large amount of telemetry data. ...
In this paper, we develop a systematic and transparent fault diagnosis methodology within a hierarchical fault diagnosis framework for a satellites formation flight. ...
The author in [20] has reported a method of data analysis that is intended for autonomous real-time fault detection and characterization in spacecraft by utilizing both rule-bases and causal system models ...
doi:10.1109/tsmcc.2010.2049994
fatcat:a2zm3x73tjbftdvf66naoihq3q
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