文献类型：期刊文献

英文题名：A novel approach to fault diagnosis for time-delay systems

作者：Yan, Bingyong[1];Wang, Huifeng[1];Wang, Huazhong[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2014

卷号：40

期号：7

起止页码：2273

外文期刊名：COMPUTERS & ELECTRICAL ENGINEERING

收录：;EI(收录号：20150700531924);WOS:【SCI-EXPANDED(收录号:WOS:000345722000022)】；

基金：This work is funded by Special Fund of East China University of Science and Technology for Basic Scientific Research (Grant WH1114027, WJ1313004-1, H200-4-13192); National Natural Science Foundation of China (Grant 51207007, 51407078).

语种：英文

外文关键词：Fault detection and identification; Iterative learning algorithm; Fault tracking approximator; Time-delay systems

摘要：In this paper, a novel fault detection and identification (FDI) scheme for time-delay systems is presented. Different from the existing FDI design methods, the proposed approach utilizes fault tracking approximator (FTA) and iterative learning algorithm to obtain estimates of the fault functions. Performance of the FTA is rigorously analyzed by investigating its stability and fault tracking sensitivity properties in the presence of slowly developing or abrupt faults for state delayed dynamic systems. A novel feature of the FTA is that it can simultaneously detect and identify the shape and magnitude of the faults. Additionally, an extension to a class of nonlinear time-delay systems is made by using nonlinear control theories. Finally, the applicability and effectiveness of the proposed FDI scheme is illustrated by a practical industrial process. (C) 2014 Elsevier Ltd. All rights reserved.