期刊
出版社
ASME
DOI: 10.1115/1.4007699
关键词
transient time-series analysis; symbolic dynamics; fault detection; aircraft gas turbine engines
资金
- NASA [NNX07AK49A]
- U.S. Army Research Laboratory
- U.S. Army Research Office [W911NF-07-1-0376]
This brief paper presents a symbolic dynamics-based method for detection of incipient faults in gas turbine engines. The underlying algorithms for fault detection and classification are built upon the recently reported work on symbolic dynamic filtering. In particular, Markov model-based analysis of quasi-stationary steady-state time series is extended to analysis of transient time series during takeoff. The algorithms have been validated by simulation on the NASA Commercial Modular Aero Propulsion System Simulation (C-MAPSS) transient test-case generator. [DOI: 10.1115/1.4007699]
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