Journal of Control Science and Engineering

Fault Diagnosis and Application to Modern Systems 2018


Publishing date
01 Jul 2018
Status
Published
Submission deadline
23 Feb 2018

Lead Editor

1Tsinghua University, Beijing, China

2Brunel University London, London, UK

3High-Tech Institute of Xi’an, Xi’an, China

4Shandong University of Science and Technology, Qingdao, China

5Northeastern University, Shenyang, China


Fault Diagnosis and Application to Modern Systems 2018

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 2018
  • - Article ID 8460541
  • - Editorial

Fault Diagnosis and Application to Modern Systems 2018

Xiao He | Zidong Wang | ... | Qiang Liu
  • Special Issue
  • - Volume 2018
  • - Article ID 8676387
  • - Research Article

Deep Sparse Autoencoder for Feature Extraction and Diagnosis of Locomotive Adhesion Status

Changfan Zhang | Xiang Cheng | ... | Guangwei Liu
  • Special Issue
  • - Volume 2018
  • - Article ID 6565737
  • - Research Article

Data Preprocessing Method and Fault Diagnosis Based on Evaluation Function of Information Contribution Degree

Siyu Ji | Chenglin Wen
  • Special Issue
  • - Volume 2018
  • - Article ID 1025353
  • - Research Article

Fault Diagnosis Method Based on Gap Metric Data Preprocessing and Principal Component Analysis

Zihan Wang | Chenglin Wen | ... | Siyu Ji
  • Special Issue
  • - Volume 2018
  • - Article ID 9473526
  • - Research Article

A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning

Xin Zhang | Shuaiwen Tang | ... | Bangcheng Zhang
  • Special Issue
  • - Volume 2018
  • - Article ID 4570493
  • - Research Article

A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation

Darong Huang | Zhenping Deng | Bo Mi
  • Special Issue
  • - Volume 2018
  • - Article ID 1976836
  • - Research Article

Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach

Bilal Djamal Eddine Cherif | Azeddine Bendiabdellah
  • Special Issue
  • - Volume 2018
  • - Article ID 2198423
  • - Research Article

Neural Back-Stepping Control of Hypersonic Flight Vehicle with Actuator Fault

Qi Wu | Yuyan Guo
Journal of Control Science and Engineering
 Journal metrics
Acceptance rate17%
Submission to final decision57 days
Acceptance to publication29 days
CiteScore0.720
Impact Factor-
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