Advanced and complete functional series time-dependent ARMA (FS-TARMA) methods for the identification and fault diagnosis of non-stationary stochastic structural systems
Non-stationary signals, that is signals with time-varying (TV) statistical properties, are commonly encountered in engineering practice. The vibration responses of structures, such as traffic-excited bridges, robotic devices, rotating machinery, and so on, constitute typical examples of non-stationa...
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Format: | Thesis |
Language: | English |
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2013
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Online Access: | http://hdl.handle.net/10889/5829 |