Mathematical Problems in Engineering

Data-Driven Fault Supervisory Control Theory and Applications


Publishing date
18 Jan 2013
Status
Published
Submission deadline
31 Aug 2012

1College of Information Science and Engineering, Northeastern University, Shenyang, China

2College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3Departamento de Control Automatico, Mexico City, DF, Mexico


Data-Driven Fault Supervisory Control Theory and Applications

Description

Fault detection, diagnosis, and prognosis are the three major tasks of fault supervisory control systems (FSCs). The goal of FSCs is to detect potential abnormity, find the causes of abnormity, assess performance degradation trending, predict the remaining time before a likely failure, and determine failure effects across subsystems. FSCs are desirable in a wide range of systems, from vehicles and aerospace, marine systems, mechatronics, electric power systems, offshore wind technology, and chemical processes to biomedical and other industrial applications involving control.

Fault detection and diagnosis (FDD) has been the subject of intensive research for more than 40 years, and fruitful results have been reported in the literature and books. Fault prognosis (or prediction) (FP) is an emerging topic, whose foundation is not yet completely firmed, but whose understanding is getting deeper and deeper. Recent advances in the field of FDD and FP have introduced new technologies, among which, data-driven techniques have been attracting intensive attentions both in academic and industrial communities. A number of mature techniques have been given for extracting useful information from measured data. Data-driven FDD and FP techniques have shown their advantages for the complex and large-scale industrial processes and equipments.

In order to reflect the most recent advances in this field and increase the awareness at large on this effective technology, we invite authors to submit original research and review articles on new emerging trends in FDD, FP, as well as FSCs, and their practical applications. Potential topics include, but are not limited to:

  • Data-based fault feature extraction, fault reasoning, and decision-making with uncertain information
  • Data-based fault propagation modeling
  • Learning-based fault detection, diagnosis, and supervisory control
  • Hybrid model-based fault accommodation design
  • New architectures and structures for FSCs
  • Applications of FSCs to complex systems

All the accepted papers will be published in Journal of Mathematical Problems in Engineering, which are indexed by SCI. Therefore, papers are invited widely from both theoretical researches and industrial practices.

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 387341
  • - Editorial

Data-Driven Fault Supervisory Control Theory and Applications

Huaguang Zhang | Bin Jiang | Wen Yu
  • Special Issue
  • - Volume 2013
  • - Article ID 276987
  • - Research Article

Minimum System Sensitivity Study of Linear Discrete Time Systems for Fault Detection

Xiaobo Li | Hugh H. T. Liu
  • Special Issue
  • - Volume 2013
  • - Article ID 165029
  • - Research Article

A Quantitative Assessment Approach to COTS Component Security

Jinfu Chen | Yansheng Lu | ... | Chengying Mao
  • Special Issue
  • - Volume 2013
  • - Article ID 602341
  • - Research Article

A Novel Sparse Least Squares Support Vector Machines

Xiao-Lei Xia | Weidong Jiao | ... | George Irwin
  • Special Issue
  • - Volume 2013
  • - Article ID 530349
  • - Research Article

Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution

Mingfang He | Chunhua Yang | ... | Yiqiu Ling
  • Special Issue
  • - Volume 2012
  • - Article ID 848519
  • - Research Article

Detection and Isolation of Simultaneous Additive and Parametric Faults in Nonlinear Stochastic Dynamical Systems

Andrés Cuervo | Pedro J. Zufiria | Ángela Castillo
  • Special Issue
  • - Volume 2012
  • - Article ID 937196
  • - Research Article

A Fault Prognosis Strategy Based on Time-Delayed Digraph Model and Principal Component Analysis

Ningyun Lu | Bin Jiang | ... | Xi Chen
  • Special Issue
  • - Volume 2012
  • - Article ID 985930
  • - Research Article

Time Series Adaptive Online Prediction Method Combined with Modified LS-SVR and AGO

Guo Yangming | Zhang Lu | ... | Ma Jiezhong
  • Special Issue
  • - Volume 2012
  • - Article ID 780740
  • - Research Article

Delay-Dependent Fuzzy Hyperbolic Model Based on Data-Driven Guaranteed Cost Control for a Class of Nonlinear Continuous-Time Systems with Uncertainties

Gang Wang | Dongsheng Yang | Qingqi Zhao
  • Special Issue
  • - Volume 2012
  • - Article ID 212369
  • - Research Article

Structural Health Monitoring of Tall Buildings with Numerical Integrator and Convex-Concave Hull Classification

Suresh Thenozhi | Wen Yu | ... | Xiaoou Li
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate28%
Submission to final decision76 days
Acceptance to publication38 days
CiteScore1.130
Impact Factor1.179
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