期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 52, 期 3, 页码 790-795出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2003.814356
关键词
blind source separation (BSS); denoising; fault detection; monitoring; rotating machines
Blind source separation (BSS) is a general signal processing method, which consists of recovering from A finite set of observations recorded by sensors, the contributions of different physical sources independently of the propagation medium and without any a priori knowledge of the sources. Recently, these methods paved a new way for the monitoring or the diagnosis of mechanical systems in, a working environment. Actually, We show that BSS allows recovering the vibratory information issued from a single rotating machine working in a noisy environment by freeing the sensor signal from the contribution of other working machines. In that way, BSS can be used as a pre-processing step for rotating machine fault detection and diagnosis.
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