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TECHNICAL PAPERS: Gas Turbines: Controls, Diagnostics, and Instrumentation

Rolling Element Bearing Defect Detection and Diagnostics Using Displacement Transducers

[+] Author and Article Information
J. J. Yu, D. E. Bently, P. Goldman, K. P. Dayton, B. G. Van Slyke

Bently Rotor Dynamics Research Corporation, 1631 Bently Parkway South, Minden, NV 89423

J. Eng. Gas Turbines Power 124(3), 517-527 (Jun 19, 2002) (11 pages) doi:10.1115/1.1456092 History: Received September 01, 2000; Revised March 01, 2001; Online June 19, 2002
Copyright © 2002 by ASME
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References

Monk,  R., 1972, “Vibration Measurement Gives Early Warning of Mechanical Faults,” Process Eng., Nov. , pp. 135–137.
Boto, P. A., 1971, “Detection of Bearing Damage by Shock Pulse Measurement,” Ball Bear. J. S.K.F.
Dyer,  D., and Stewart,  R. M., 1978, “Detection of Rolling Element Bearing Damage by Statistical Analysis,” ASME J. Mech. Des., 100, pp. 229–235.
McFadden,  P. D., and Smith,  J. D., 1984, “The Condition Monitoring of Rolling Element Bearings by the High-Frequency Resonance Technique—A Review,” Tribol. Int., 17, pp. 3–10.
Eshleman, R., 1980, “The Role of Sum and Difference Frequencies in Rotating Machinery Fault Diagnosis,” I. Mech Eng, C272/80.
Mathew,  J., and Alfredson,  R. J., 1984, “The Condition Monitoring of Rolling Element Bearings Using Vibration Analysis,” ASME J. Vibr. Acoust., 106, pp. 447–453.
Bently,  D. E., 1982, “Monitoring Rolling Element Bearings,” Orbit, 3, No. 3, pp. 2–15.
Harker,  R. G., and Sandy,  J. L., 1989, “Rolling Element Bearing Monitoring and Diagnostics Techniques,” ASME J. Eng. Gas Turbines Power, 111, pp. 251–256.
Kim, P. Y., 1984, “A Review of Rolling Element Bearing Monitoring (III): Preliminary Test Results on Eddy Current Transducer Technique,” Proceedings of Third International Conference on Vibrations in Rotating Machinery, The Institution of Mechanical Engineers, York, England, pp. 119–125.
Holm-Hansen,  B. T., and Gao,  R. X., 2000, “Vibration Analysis of a Sensor-Integrated Ball Bearing,” ASME J. Vibr. Acoust., 122, pp. 384–392.

Figures

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Outer race deflection measured by displacement transducer; (a) time base, and (b) frequency spectrum
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Casing response in time base and frequency spectrum from accelerometers mounted in (a) vertical, and (b) horizontal directions
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Diagram of inner race defect detection methodology using high-gain displacement transducer
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Relation between iIRBP and detected spike group period T
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Measured data in time base from displacement transducer
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More severe defect case (Aspike/Adeflection=1.1) at speed 680 rpm with hydraulic load 1379 kPa (200 psi); (a) real defect, (b) time base signal, and (c) time base signal after removing iORBP× and 2iORBP× components
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Spike and deflection amplitude for the same defect shown in Fig. 7(a). (a) 1360 rpm without hydraulic load, and (b) 680 rpm with 689 kPa (100 psi) hydraulic load.
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Less severe defect case (Aspike/Adeflection=0.4)
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Fault frequency components due to inner race defect using displacement transducer
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Outer race defect signal measured by displacement transducer at speed 680 rpm without hydraulic loading; (a) time base, and (b) frequency spectrum
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Spike signal varying with defect orientation
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Rolling element defect signal detected by the probe at 700 rpm with 1379 kPa (200 psi); (a) time base after removing iORBP× and 2iORBP× components with corresponding defect contact locations near the probe, and (b) frequency spectrum

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