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TECHNICAL PAPERS

Autoregressive Model-Based Gear Fault Diagnosis

[+] Author and Article Information
Wenyi Wang, Albert K. Wong

Airframes and Engines Division, Aeronautical and Maritime Research Laboratory (AMRL), Defence Science & Technology Organisation, PO Box 4331, Melbourne, VIC 3001 Australia

J. Vib. Acoust 124(2), 172-179 (Mar 26, 2002) (8 pages) doi:10.1115/1.1456905 History: Received September 01, 2000; Revised November 01, 2001; Online March 26, 2002
Copyright © 2002 by ASME
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Figures

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Diagram of the model-based diagnostic method
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Numerically simulated gear signals and their spectra. (a, b) Healthy-state signal average and its spectrum; (c, d) Faulty-state signal average I (with a large phase modulation and no resonance excited) and its spectrum; (e, f ) Faulty-state signal average II (with a small phase modulation and an excited resonance) and its spectrum.
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(a, c, e) The conventional and (b, d, f ) AR model residual signals of the numerically simulated gear signals shown in Fig. 2(a, c, e), respectively.
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The fault-free SA at (a) 29.325 test-hours and the future-state SAs at (b) 42.13 hours, (c) 42.38 and (d) 42.6 hours of running. The load settings for all these SAs were 45kW (184 percent the rated load).
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The traditional residual signals derived from the SAs shown in Fig. 4. The test-hours were (a) 29.325; (b) 42.13; (c) 42.38 and (d) 42.6.
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The AR(65) model residual signal for the SAs shown in Fig. 4. The test-hours were (a) 29.325; (b) 42.13; (c) 42.38 and (d) 42.6.
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Gear tooth crack diagnoses under a low load condition using the AR(55) modelling and traditional methods. (a) The healthy-sate SA at the beginning of the test, (b) faulty-state SA at 43.4394 test hours, (c) the AR residual and (d) the traditional residual signals.
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Gear tooth crack diagnoses under a low load condition using the AR(55) modelling and traditional methods. (a) The healthy-state SA at the beginning of the test, (b) faulty-state SA at 43.4464 test hours, (c) the AR residual and (d) the traditional residual signals.

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