Test Configuration for Incipient Fault Detection

被引：0

作者：

Yang, Shuming ^{[1
]}

Wen, Xiaoyu ^{[1
]}

Zhang, Xiaofei ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Basic Educ, Changsha 410073, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS, NETWORK AND COMPUTER ENGINEERING (ICENCE 2016) | 2016年 / 67卷

基金：

美国国家科学基金会;

关键词：

Equipment Health Management; Design for Testability; Test Optimization Configuration; Generic Algorithm;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Information sensing and test are premise and foundation of (Equipment Health Management, EHM), a reasonable sensor configuration not only provide accurate and complete fault information, but also improve fault diagnostics, fault prognostics and health state evaluation capability. To address the problem that the traditional test selection and optimization are mainly for fault detection and isolation, then, testability indices for EHM are firstly formulated quantitatively, then, test optimization selection model which minimizes test cost is modeled, and the generic algorithm is introduced to solve the problem. At last, a simulation case and an application case are given to verify & validate the proposed model and method.

引用

页码：450 / 454

页数：5

共 50 条

[11] Incipient Fault Detection and Diagnosis: A hidden information detection problem
20154701578325
(1) Laboratoire des Signaux et Systèmes (L2S), CNRS-Centrale Supelec-Univ. Paris-Sud, Gif Sur Yvette; 91192, France; (2) Group of Electrical Engineering of Paris (GEEPS), CNRS, Centrale Supelec, Univ. P. et M. Curie, Univ. Paris-Sud, Gif Sur Yvette; 91192, France, 1600, Federal University of Mato Grosso do Sul (UFMS); Federal University of Rio de Janeiro (UFRJ); State University of Rio de Janeiro (UERJ); The Institute of Electrical and Electronics Engineers Industrial Electronics Society (IEEE IES) (Institute of Electrical and Electronics Engineers Inc., United States):
[12] Neural network based transformer incipient fault detection
Nagpal, Tapsi
Brar, Yadwinder Singh
2014 INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL ENGINEERING (ICAEE), 2014,
[13] Soft Computing based Transformer Incipient Fault Detection
Nagpal, Tapsi
Brar, Yadwinder Singh
PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 1747 - 1751
[14] A Novel Approach for Incipient Fault Detection in Analog Circuits
Yu, Yang
Jiang, Yueming
Wang, Hetong
Peng, Xiyuan
2018 EIGHTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2018), 2018, : 289 - 294
[15] On the experiment detection of incipient rotor fault of an induction motor
Didier, G
Razik, H
Rezzoug, A
IEEE IEMDC'03: IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, VOLS 1-3, 2003, : 913 - 916
[16] Model Based Incipient Fault Detection for Gear Drives
CUI Bo-wen
International Journal of Plant Engineering and Management, 2001, (02) : 65 - 70
[17] Incipient fault detection in mechanical power transmission systems
Bhatnagar, S
Rajagopalan, V
Ray, A
ACC: Proceedings of the 2005 American Control Conference, Vols 1-7, 2005, : 472 - 477
[18] Incipient Fault Detection of Reactive Ion Etching Process
Hong, Sang Jeen
Park, Jae-Hyun
Han, Seung-Soo
TRANSACTIONS ON ELECTRICAL AND ELECTRONIC MATERIALS, 2005, 6 (06) : 262 - 271
[19] An incipient fault detection approach via detrending and denoising
He, Zhangming
Shardt, Yuri A. W.
Wang, Dayi
Hou, Bowen
Zhou, Haiyin
Wang, Jiongqi
CONTROL ENGINEERING PRACTICE, 2018, 74 : 1 - 12
[20] Incipient sensor fault detection for linear stochastic systems
Niu Y.-C.
Liu S.-Y.
Gao M.
Sheng L.
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2022, 39 (05): : 879 - 886

← 1 2 3 4 5 →