An order-tracking technique for the diagnosis of faults in rotating machineries using a variable step-size affine projection algorithm
✍ Scribed by Jian-Da Wu; Chin-Wei Huang; Jien-Chen Chen
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 693 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0963-8695
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✦ Synopsis
This paper describes principles and applications of an adaptive order tracking diagnosis technique for fault diagnosis in rotating machinery. An adaptive high-resolution order tracking method with a variable step-size affine-projection algorithm (VSS APA) is used to diagnose faults in the gear-set and centrifugal fan blades. In comparison with conventional order-tracking methods such as recursive leastsquare filtering algorithm, the proposed VSS APA technique has fast convergence speed for adaptive filtering process. The VSS APA-based order-tracking technique can overcome problems encountered in FFT based methods. The smearing problem is treated as the tracking of frequency-varying band-pass signals. Ordered amplitudes can be calculated with high-resolution adaptive filter algorithm after experimental implementations carried out to evaluate the proposed algorithm in gear-set and centrifugal fan blades defect diagnosis. The experimental result indicates that the proposed algorithm is effective in rotating machinery fault diagnosis.