Journal of Control Science and Engineering

Fault Diagnosis and Application to Modern Systems


Status
Published

Lead Editor

1Tsinghua University, Beijing, China

2Brunel University London, London, UK

3Beihang University, Beijing, China

4High-Tech Institute of Xi’an, Xi’an, China

5Beijing University of Chemical Technology, Beijing, China


Fault Diagnosis and Application to Modern Systems

Description

Fault diagnosis (FD) technique for modern control systems has been an active field of research over the past four decades due to an increasing demand for higher performance, as well as due to higher safety and reliability standards. The whole FD problem consists of a fault detection unit and a fault isolation strategy as well as a fault estimation technique. The task of fault detection problem is to construct a residual signal which is then compared with a predefined threshold. When the residual exceeds the threshold, an alarm is generated. The scope of the fault isolation problem is to locate the true fault from all possible faults. The objective of the fault estimation problem is to determine the fault amplitude as well as the appearing time of the fault.

The existing FD techniques can be divided into two main categories: the model-based method and the data-driven approach. Once the mathematical model can be obtained for an objective system, a model-based FD method can provide exact decoupling or maximum attenuation to the factors except the target fault. On the other hand, when it is hard to obtain a mathematical model but enough historical data of a system can be obtained, data-driven approach is more applicable and may get a better FD result.

Recently, analytical-based FD techniques for modern systems, including both model-based methods and data-driven approaches, have received more and more attention. There have been an increasing number of the results reported in the literature for the topics of FD. Novel theoretical results and application cases stimulate the research of FD problems of recently developed modern systems.

This special issue is intended to present and discuss breakthrough technological developments of FD techniques as well as their successful application.

Potential topics include but are not limited to the following:

  • Fault detection and isolation of networked systems
  • Fault accommodation and system recovery
  • Fault prognosis technique
  • Fault isolation of simultaneous faults
  • Fault detection of incipient faults
  • Data-driven fault diagnosis
  • Safety assessment of complex systems
  • Development of physical fault diagnosis systems
  • Statistical decision making for fault threshold selection
  • Fault diagnosis using spectral analysis methods
  • Fault diagnosis for distributed parameter systems (described by PDEs)
  • Fault isolation techniques using statistical criteria
  • Fault isolation using pattern recognition methods

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 1026759
  • - Editorial

Fault Diagnosis and Application to Modern Systems

Xiao He | Zidong Wang | ... | Youqing Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 3583610
  • - Research Article

A Novel Multimode Fault Classification Method Based on Deep Learning

Funa Zhou | Yulin Gao | Chenglin Wen
  • Special Issue
  • - Volume 2017
  • - Article ID 9560206
  • - Research Article

An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process

Kaixiang Peng | Bingzheng Wang | Jie Dong
  • Special Issue
  • - Volume 2017
  • - Article ID 8595960
  • - Research Article

Fault-Tolerant Control of a Nonlinear System Actuator Fault Based on Sliding Mode Control

Jing He | Lin Mi | ... | Houguang Chu
  • Special Issue
  • - Volume 2017
  • - Article ID 2697297
  • - Research Article

Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis

Xiaoming Xu | Chenglin Wen
  • Special Issue
  • - Volume 2017
  • - Article ID 7849841
  • - Research Article

Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach

Jie Huang | Xiao He
  • Special Issue
  • - Volume 2017
  • - Article ID 1763934
  • - Research Article

Intelligent Vehicle Embedded Sensors Fault Detection and Isolation Using Analytical Redundancy and Nonlinear Transformations

Nicolas Pous | Denis Gingras | Dominique Gruyer
  • Special Issue
  • - Volume 2017
  • - Article ID 8132528
  • - Research Article

Research on Fault Diagnosis Method Based on Rule Base Neural Network

Zheng Ni | Zhang Lin | ... | Zhang Dajiang
  • Special Issue
  • - Volume 2016
  • - Article ID 1286318
  • - Research Article

Neural Network Based Fault Detection and Diagnosis System for Three-Phase Inverter in Variable Speed Drive with Induction Motor

Furqan Asghar | Muhammad Talha | Sung Ho Kim
  • Special Issue
  • - Volume 2016
  • - Article ID 2670210
  • - Research Article

Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning

Hang Wei | Pei-Li Qiao
Journal of Control Science and Engineering
 Journal metrics
Acceptance rate15%
Submission to final decision59 days
Acceptance to publication29 days
CiteScore1.900
Impact Factor-
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