On PCA-based fault diagnosis techniques

被引：0

作者：

Yin, Shen ^{[1
]}

Ding, Steven X. ^{[1
]}

Naik, Amol ^{[1
]}

Deng, Pengcheng ^{[1
]}

Haghani, Adel ^{[1
]}

机构：

[1] Univ Duisburg Essen, Inst Automat & Complex Syst, Bismarckstr 81 BB, D-47057 Duisburg, Germany

来源：

2010 CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL'10) | 2010年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the application of standard PCA technique to fault diagnosis system design. Based on the fault detectability analysis of existed test statistics, the joint use of some test statistics is recommended. Our further study is dedicated to develop a fault isolation approach based on likelihood ratio test, on which the off-set and scaling fault can be easily isolated with explicit off-set fault direction and scaling fault classification. The issues of off-set and scaling fault identification will be also discussed and the complete scheme of PCA-based fault diagnosis procedure is proposed.

引用

页码：179 / 184

页数：6

共 50 条

[1] PCA-based fault diagnosis in the presence of control and dynamics
Gertler, J
Cao, J
[J]. AICHE JOURNAL, 2004, 50 (02) : 388 - 402
[2] Decision tree and PCA-based fault diagnosis of rotating machinery
Sun, Weixiang
Chen, Jin
Li, Jiaqing
[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (03) : 1300 - 1317
[3] Interval Extended PCA-based fault diagnosis of Spacecraft Thrusters
Gueddi, Imen
Nasri, Othman
Benothman, Kamel
Dague, Philippe
[J]. 2016 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2016, : 700 - 705
[4] PCA-Based Sensor Fault Diagnosis for Aero-Engine
Zhao, Zhen
Sun, Yi-gang
Zhang, Jun
[J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 2725 - 2729
[5] Graphical enhancement to support PCA-based process monitoring and fault diagnosis
Ralston, P
DePuy, G
Graham, JH
[J]. ISA TRANSACTIONS, 2004, 43 (04) : 639 - 653
[6] Partial kernel PCA-based GLRT for fault diagnosis of nonlinear processes
Fezai, Radhia
Mansouri, Majdi
Abodayeh, Kamaleldin
Nounou, Hazem
Nounou, Mohamed
Messaoud, Hassani
[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (04) : 4829 - 4843
[7] Comparison of FDA-based and PCA-based features in fault diagnosis of automobile gearboxes
Gharavian, M. H.
Ganj, F. Almas
Ohadi, A. R.
Bafroui, H. Heidari
[J]. NEUROCOMPUTING, 2013, 121 : 150 - 159
[8] Wind Power Converter Fault Diagnosis Using Reduced Kernel PCA-Based BiLSTM
Attouri, Khadija
Mansouri, Majdi
Hajji, Mansour
Kouadri, Abdelmalek
Bouzrara, Kais
Nounou, Hazem
[J]. SUSTAINABILITY, 2023, 15 (04)
[9] Automated interpretation of PCA-based process monitoring and fault diagnosis using signed digraphs
Vedam, H
Venkatasubramanian, V
[J]. ON-LINE FAULT DETECTION AND SUPERVISION IN THE CHEMICAL PROCESS INDUSTRIES 1998, 1998, : 219 - 223
[10] Statistics Analysis of PCA-based Sensor Fault Detection
Qiu, Tian
Zhu, Xiang
[J]. FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 1085 - 1089

← 1 2 3 4 5 →