For automatic detection and diagnosis of localized defects in rolling element bearings, bicoherence spectra are used to derive features that signify the condition of a bearing. These features quantitatively describe the degree of phase correlation among any three harmonics of bearing characteristic defect frequencies. In this paper, theory of bicoherence is explored to establish its utilization in the detection of bearing localized defects. Experimental results show that the proposed method is effective in bearing defect detection and sensitive to incipient defects.

1.
Braun
S.
, and
Datner
B.
,
1979
, “
Analysis of Roller/ball Bearing Vibrations
,”
ASME JOURNAL OF MECHANICAL DESIGN
, Vol.
101
, pp.
118
125
.
2.
Broderick, J. J., Burchill, R. F., and Clark, H. L., 1972, “Design and Fabrication of Prototype System for Early Warning of Impending Bearing Failure,” NASA CR-123717.
3.
Burchill, R. F., 1973, “Resonant Structure Techniques for Bearing Fault Analysis,” National Bureau of Standards NBSIR 73–252.
4.
Darlow, M. S., Badgley, R. H., and Hogg, G. W., 1974, “Applications of High Frequency Resonance Techniques for Bearing Diagnostics in Helicopter Gearboxes,” USAAMRDL-TR-74-77.
5.
Downham, E., and Woods, R., 1971, “The Rationale of Monitoring Vibration on Rotating Machinery in Continuously Operating Process Plant,” ASME paper No. 71-Vibr-96.
6.
Dyer
D.
, and
Stewart
R. M.
,
1978
, “
Detection of Rolling Element Bearing Damage by Statistical Vibration Analysis
,”
ASME JOURNAL OF MECHANICAL DESIGN
, Vol.
100
, pp.
229
235
.
7.
Ehrich
F. F.
,
1972
, “
Sum and Difference Frequencies in Vibration of High Speed Rotating Machinery
,”
ASME JOURNAL OF ENGINEERING FOR INDUSTRY
, Vol.
94
, No.
1
, pp.
181
184
.
8.
Eshleman, R. L., 1980, “The Use of Sum and Difference Frequencies in Rotating Machinery Analysis,” Proc. of Machinery Vibration Seminar IV, Vibration Institute, Cherry Hill, NJ., pp. 1–18.
9.
Gustafsson
O. G.
, and
Tallian
T.
,
1962
, “
Detection of Damage in Assembled Rolling Bearings
,”
Trans. ASLE
, Vol.
65
, No.
5
, pp.
197
209
.
10.
Kim
Y. C.
, and
Powers
E. T.
,
1979
, “
Digital Bispectral Analysis and Its Applications to Nonlinear Wave Interaction
,”
IEEE Trans. on Plasma Science
, Vol.
PS-9
, No.
2
, pp.
120
131
.
11.
Li, C. James, Ma, J., Hwang, B., and Nickerson, G. W., 1991, “Bispectral Analysis of Bearing Vibrations for Bearing Condition Monitoring,” Proceedings of the 3rd International Machinery Monitoring and Diagnosis Conference, Las Vegas, NV., pp. 225–231.
12.
Mcfadden
P. D.
, and
Smith
J. D.
,
1984
, “
Vibration Monitoring of Rolling Element Bearings by the High Frequency Resonance Technique-A Review
,”
Trihology International
, Vol.
17
, No.
C4
, pp.
3
10
.
13.
Subba Rao, T., and Gabr, M. M., 1984, An Introduction to Bispectral Analysis and Bilinear Time Series Models, Springer-Verlag, Berlin, Heidelberg.
14.
Weichbrodt, B., and Bowden, J., 1970, “Instrument for Predicting Bearing Damage,” GE Co. Report, S-70-1021 AD 869633.
15.
Widner, R. L., and Littmann, W. E., 1976, “Bearing Damage Analysis,” National Bureau of Standard special publication No. 423.
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