Fault diagnosis of rotating machinery using an intelligent order tracking system

Author:

Bai Mingsian,Huang Jiamin,Hong Minghong,Su Fucheng

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference13 articles.

1. J.E. Berry, Proven method for specifying both 6 spectral alarm bands as well as narrowband alarm envelopes using today's predictive maintenance software system, Bandaid Technical Literature, Technical Associates of Charlotte, Inc. Charlotte, NC, 1993.

2. H. Vold, J. Leuridan, High resolution order tracking at extreme slew rates, using Kalman filters, The Society of Automotive Engineers No. 931288, 1993, pp. 219–226.

3. H. Vold, M. Mains, J. Blough, Theoretical foundations for high performance order tracking with the Vold–Kalman tracking filter, The Society of Automotive Engineers No. 972007, 1997, pp. 1083–1088.

4. M.C. Pan, Y.Y. Lin, Dynamic signal processing of rotary machines using Vold–Kalman filtering order tracking, Proceedings of IEEE/ASME International Conference on Advanced Manufacturing Technologies and Education in the 21th Century, Vol. C177, Chia-Yi, Taiwan, 2002.

5. Objective machinery fault diagnosis using fuzzy logic;Mechefske;Mechanical Systems and Signal Processing,1998

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