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
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;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703183
