Run - time sensor data Windowed Fourier Transform Principal Components Analysis
نویسندگان
چکیده
This paper describes a diagnostic system for processing high-bandwidth vibration data from distributed sensors for monitoring and diagnosis of electromechanical machines. The system employs time-frequency and principal component analysis techniques to extract and compress features and a Bayesian decision analysis to combine and classify data from multiple sources. Experimental multi-sensor diagnosis results are reported for classifying motor and solenoid vibration signatures from the paper drive plate of the Xerox DC265 digital
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