Study of a Novel Algorithm for Incipient Fault Diagnosis and Its Application
Wei Wang, Hong Zhao, Chunhong Zhu, Qiang Li · 2010
Blind source separation (BSS) can be used to separate mixed signals which is combined by the original data linearly, and obtain the source component which is statistically independent. But the capacity of independent component analysis (ICA) is usually affected by the phase difference of the mixed signals. For this reason, an improved method called frequency domain BSS is proposed. By the properties of linear addition and phase loss of spectrum analysis, the engineering signals are transformed to frequency domain firstly, and then the spectra are processed by ICA. Simulation results and the application of incipient impact-rub fault diagnosis both demonstrate that for ICA the correct preprocessing according to signal structure contributes to feature extraction of engineering signals effectively.