A Framework to Automate Fault Detection and Diagnosis Based on Moving Window Principal Component Analysis and Bayesian Network

Fault Detection ◽

Bayesian Network ◽

Principal Component ◽

Component Analysis ◽

Moving Window ◽

Fault detection and diagnosis using Principal Component Analysis of vibration data from a reciprocating compressor

Proceedings of 2012 UKACC International Conference on Control ◽

10.1109/control.2012.6334674 ◽

2012 ◽

Cited By ~ 17

Author(s):

M Ahmed ◽

M Baqqar ◽

F Gu ◽

A D Ball

Keyword(s):

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Reciprocating Compressor ◽

Vibration Data ◽

Multiple fault detection and diagnosis in a Gas Turbine using principal component analysis and structured residuals

2012 20th Mediterranean Conference on Control & Automation (MED) ◽

10.1109/med.2012.6265620 ◽

2012 ◽

Author(s):

Amilcar Rincon

Keyword(s):

Fault Detection ◽

Gas Turbine ◽

Principal Component ◽

Component Analysis ◽

Multiple Fault ◽

Fault detection and diagnosis for spacecraft using principal component analysis and support vector machines

2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA) ◽

10.1109/iciea.2012.6361054 ◽

2012 ◽

Cited By ~ 5

Author(s):

Yu Gao ◽

Tianshe Yang ◽

Nan Xing ◽

Minqiang Xu

Keyword(s):

Support Vector Machines ◽

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Support Vector ◽

Vector Machines ◽

Application of principal component analysis for the fault detection and diagnosis of active magnetic bearings

International Journal of Advanced Mechatronic Systems ◽

10.1504/ijamechs.2017.10010733 ◽

2017 ◽

Vol 7 (4) ◽

pp. 245

Author(s):

Satish Chand ◽

Praveen Kumar Agarwal ◽

Anand S. Reddy

Keyword(s):

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Magnetic Bearings ◽

Active Magnetic Bearings ◽

Principal Component Analysis based on ANOVA Test for Multishaft Centrifugal Compressor Fault Detection and Diagnosis

IFAC Proceedings Volumes ◽

10.3182/20100915-3-it-2017.00071 ◽

2010 ◽

Vol 43 (21) ◽

pp. 90-96 ◽

Cited By ~ 1

Author(s):

S.M. Zanoli ◽

G. Astolfi ◽

L. Barboni

Keyword(s):

Fault Detection ◽

Centrifugal Compressor ◽

Principal Component ◽

Component Analysis ◽

Anova Test ◽

Application of principal component analysis for the fault detection and diagnosis of active magnetic bearings

International Journal of Advanced Mechatronic Systems ◽

10.1504/ijamechs.2017.089608 ◽

2017 ◽

Vol 7 (4) ◽

pp. 245

Author(s):

Anand S. Reddy ◽

Praveen Kumar Agarwal ◽

Satish Chand

Keyword(s):

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Magnetic Bearings ◽

Active Magnetic Bearings ◽

Incipient fault detection and diagnosis based on Kullback–Leibler divergence using Principal Component Analysis: Part I

Signal Processing ◽

10.1016/j.sigpro.2013.05.018 ◽

2014 ◽

Vol 94 ◽

pp. 278-287 ◽

Cited By ~ 98

Author(s):

Jinane Harmouche ◽

Claude Delpha ◽

Demba Diallo

Keyword(s):

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Leibler Divergence ◽

Incipient Fault ◽

Detection And Diagnosis ◽

Incipient Fault Detection

Dynamic process fault detection and diagnosis based on dynamic principal component analysis, dynamic independent component analysis and Bayesian inference

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2015.09.010 ◽

2015 ◽

Vol 148 ◽

pp. 115-127 ◽

Cited By ~ 45

Author(s):

Jian Huang ◽

Xuefeng Yan

Keyword(s):

Bayesian Inference ◽

Fault Detection ◽

Independent Component Analysis ◽

Dynamic Process ◽

Principal Component ◽

Component Analysis ◽

Dynamic Principal Component Analysis ◽

Sparse Robust Principal Component Analysis with Applications to Fault Detection and Diagnosis

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.8b04655 ◽

2019 ◽

Vol 58 (3) ◽

pp. 1300-1309 ◽

Cited By ~ 12

Author(s):

Lijia Luo ◽

Shiyi Bao ◽

Chudong Tong

Keyword(s):

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Robust Principal Component Analysis ◽

Process Fault Detection and Diagnosis Based on Principal Component Analysis

2006 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2006.258550 ◽

2006 ◽

Cited By ~ 11

Author(s):

Tao He ◽

Wei-rong Xie ◽

Qing-hua Wu ◽

Tie-lin Shi

Keyword(s):

Fault Detection ◽

Principal Component ◽

Component Analysis ◽