Fault feature extraction using independent component analysis with reference and its application on fault diagnosis of rotating machinery

Author:

Yu Gang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference23 articles.

1. Ans B, Hörault J, Jutten C (1985) Adaptive neural architectures: detection of primitives. In: Proceedings of COGNITIVA’85, pp 593–597

2. Bylund J (2001) A humble attempt to solve the “Cocktail-party” problem using blind source separation. SID: 0136719, Sydney: University of Sydney

3. Acharya DP, Panda G (2008) A review of independent component analysis techniques and their applications. IETE Techn Rev 25:320–332

4. Gelle G, Colas M, Delaunay G (2000) Blind sources separation applied to rotating machines monitoring by acoustical and vibrations analysis. Mech Syst Signal Process 14:427–442

5. Sanna P, Pedro J, Herkki H (2003) Independent component analysis of vibrations for fault diagnosis of an induction motor. In: Proceedings of the international conference on circuits, signals, and systems, pp 203–208

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