Title :
Static and dynamical systems approach to engine condition monitoring
Author :
Kadirkamanathan, Visakan ; Patel, Vijay C.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK
fDate :
31 Aug-2 Sep 1998
Abstract :
The paper focuses on the two general approaches to condition monitoring of systems: static pattern analysis approach and the dynamical systems approach. In each, statistical and neural network methods are considered. The performances of the different methods for the monitoring of the complex gas turbine engine is given
Keywords :
computerised monitoring; engines; gas turbines; neural nets; statistical analysis; complex gas turbine engine; dynamical systems; engine condition monitoring; neural network methods; static pattern analysis; static systems; statistical methods; Automatic control; Condition monitoring; Engines; Fault detection; Hidden Markov models; Neural networks; Pattern analysis; Predictive models; Systems engineering and theory; Turbines;
Conference_Titel :
Neural Networks for Signal Processing VIII, 1998. Proceedings of the 1998 IEEE Signal Processing Society Workshop
Conference_Location :
Cambridge
Print_ISBN :
0-7803-5060-X
DOI :
10.1109/NNSP.1998.710675
