Mathematical Problems in Engineering

Fault Detection, Estimation/Reconstruction, and Fault-Tolerant Control: Theory and Practice


Publishing date
13 May 2016
Status
Published
Submission deadline
25 Dec 2015

Lead Editor
Guest Editors

1Wayne State University, Detroit, USA

2University of Louisiana at Lafayette, Lafayette, USA

3Nanjing University of Aeronautics and Astronautics, Nanjing, China


Fault Detection, Estimation/Reconstruction, and Fault-Tolerant Control: Theory and Practice

Description

The increasing complexity of modern engineering systems will correspondingly increase the possibility of system faults and/or failures. The occurrence of sensor, actuator, and/or component failures may dramatically degrade system performance and even result in catastrophic system collapse. As a response to high requirement for system safety, reliability, and survivability, fault diagnosis and Fault-Tolerant Control (FTC) for dynamic systems have been attractive subjects of many investigations in control community and have received considerable attention during the past few decades, and a great deal of research progress has been made.

We invite researchers to contribute original research and application articles as well as review articles that will stimulate the continuing efforts to develop new diagnostic methods and their applications to engineering areas. We are particularly interested in articles exploring new theories for fault detection, estimation/reconstruction, fault isolation, and FTC.

Potential topics include, but are not limited to:

  • Recent developments in fault diagnosis and practice
  • Observer-based fault detection, isolation, and reconstruction
  • Observer-based FTC and their applications
  • Data-based fault diagnosis
  • Neural network and fault diagnosis
  • Artificial intelligence and fault diagnosis
  • Application of fault-diagnostic strategies to engineering including power systems, nuclear plants, renewable energy systems, chemical and manufacturing plants, and paper-making industry

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 5293171
  • - Editorial

Fault Detection, Estimation/Reconstruction, and Fault-Tolerant Control: Theory and Practice

Wen Chen | Afef Fekih | Zehui Mao
  • Special Issue
  • - Volume 2016
  • - Article ID 2141482
  • - Research Article

Flight Tests of Autopilot Integrated with Fault-Tolerant Control of a Small Fixed-Wing UAV

Shuo Wang | Ziyang Zhen | ... | Xinhua Wang
  • Special Issue
  • - Volume 2016
  • - Article ID 5432648
  • - Research Article

A Novel Method of Fault Diagnosis for Rolling Bearing Based on Dual Tree Complex Wavelet Packet Transform and Improved Multiscale Permutation Entropy

Guiji Tang | Xiaolong Wang | Yuling He
  • Special Issue
  • - Volume 2016
  • - Article ID 7308631
  • - Research Article

Calculation and Analysis of Permanent Magnet Eddy Current Loss Fault with Magnet Segmentation

Bing Li | Ming Li
  • Special Issue
  • - Volume 2016
  • - Article ID 2740645
  • - Research Article

Minimal-Order Functional Observer-Based Residual Generators for Fault Detection and Isolation of Dynamical Systems

H. M. Tran | H. Trinh
  • Special Issue
  • - Volume 2016
  • - Article ID 5813490
  • - Research Article

An Effective Strategy to Build Up a Balanced Test Suite for Spectrum-Based Fault Localization

Ning Li | Rui Wang | ... | Wei Zheng
  • Special Issue
  • - Volume 2016
  • - Article ID 1820454
  • - Research Article

Fault Localization Analysis Based on Deep Neural Network

Wei Zheng | Desheng Hu | Jing Wang
  • Special Issue
  • - Volume 2016
  • - Article ID 7249803
  • - Research Article

Unitary Approximations in Fault Detection Filter Design

Dušan Krokavec | Anna Filasová | Pavol Liščinský
  • Special Issue
  • - Volume 2016
  • - Article ID 8153282
  • - Research Article

Analytical Redundancy Design for Aeroengine Sensor Fault Diagnostics Based on SROS-ELM

Jun Zhou | Yuan Liu | Tianhong Zhang
  • Special Issue
  • - Volume 2016
  • - Article ID 2358142
  • - Research Article

Safety Assessment for Electrical Motor Drive System Based on SOM Neural Network

Linghui Meng | Peizhen Wang | ... | Chunmei Xu
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate29%
Submission to final decision65 days
Acceptance to publication35 days
CiteScore1.800
Impact Factor1.009
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