DocumentCode
3438474
Title
Fault detection and diagnosis for rotating machinery: a model-based approach
Author
Abdel-Magied, M.F. ; Loparo, K.A. ; Lin, Wei
Author_Institution
Dept. of Syst. & Control Eng., Case Western Reserve Univ., Cleveland, OH, USA
Volume
6
fYear
1998
fDate
21-26 Jun 1998
Firstpage
3291
Abstract
Formulates the problem of incipient fault detection and diagnosis for rotating machinery in a statistical model-based framework. This includes problem description, modeling of rotating machinery and fault mechanisms, formulation of the detection and diagnosis problem, and analysis of performance of the proposed technique
Keywords
Kalman filters; decision theory; fault diagnosis; filtering theory; observers; statistical analysis; fault detection; fault mechanisms; performance analysis; rotating machinery; statistical model-based framework; Control engineering; Fault detection; Fault diagnosis; Linear systems; Machinery production industries; Manufacturing industries; Nonlinear systems; Performance analysis; Stochastic processes; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.703183
Filename
703183
Link To Document