Synthesized Synchronous Sampling Technique for Differential Bearing Damage Detection

Huageng Luo1, Hai Qiu1, George Ghanime1, Melinda Hirz2, Geo Van Der Merwe2
1GE Global Research Center,#N#Niskayuna, NY 12309
2GE Aviation, Evendale, OH 45215

Tóm tắt

The differential bearing between the low-pressure turbine (LPT) and high-pressure turbine (HPT) shafts is one of the most vulnerable parts in a turbomachinery engine. Unfortunately, it is also one of the most difficult parts to monitor for damage existence signatures, because the signal-to-noise ratio at the normal sensor locations is extremely low. In addition, the speed variations in both the LPT and HPT can further deteriorate the damage signature extracted by conventional analysis methods. In this paper, we developed a “synthesized synchronous sampling” technique to enhance the detection of differential bearing damage signature. Combining this technique together with the conventional acceleration enveloping technique, we are able to detect differential bearing damage at a much earlier stage, thus providing early warnings of the machinery health conditions.

Từ khóa


Tài liệu tham khảo

McFadden, The Vibration Monitoring of Rolling Element Bearings by the High-Frequency Resonance Technique—A Review, Tribol. Int., 17, 3, 10.1016/0301-679X(84)90076-8

Howard, I. , 1994, “A Review of Rolling Element Bearing Vibration Detection, Diagnosis and Prognosis,” DSTO Aeronautical and Maritime Research Laboratory, Melbourne, Australia, Paper No. DSTO-RR-0013.

Rao, Vibratory Condition Monitoring of Machines

Eshleman, Machinery Vibration Analysis: Diagnostics, Condition Evaluation, and Correction, Vibration Institute

McFadden, Model for the Vibration Produced by a Single Point Defect in a Rolling Element Bearing, J. Sound Vib., 96, 69, 10.1016/0022-460X(84)90595-9

McFadden, Model for the Vibration Produced by Multiple Point Defect in a Rolling Element Bearing, J. Sound Vib., 98, 263, 10.1016/0022-460X(85)90390-6

Harker, Rolling Element Bearing Monitoring and Diagnostics Techniques, ASME J. Eng. Gas Turbines Power, 111, 251, 10.1115/1.3240244

Su, On Initial Fault Detection of a Tapered Roller Bearing: Frequency Domain Analysis, J. Sound Vib., 155, 75, 10.1016/0022-460X(92)90646-F

Stewart, Some Useful Data Analysis Techniques for Gear Box Diagnostics

Hochmann, Theory of Synchronous Averaging, 10.1109/AERO.2004.1368181

Combet, An Automated Methodology for Performing Time Synchronous Averaging of a Gearbox Signal Without Speed Sensor, Mech. Syst. Signal Process., 21, 2590, 10.1016/j.ymssp.2006.12.006

Darlow, M. S., Badgley, R. H., and Hogg, G. W., 1974, “Application of High-Frequency Resonance Techniques for Bearing Diagnostics in Helicopter Gearboxes,” Paper No. ADA004014.

Bogert, The Frequency Analysis of Time Series for Echoes: Cepstrum, Pseudo-Autocovariance, Cross-Cepstrum, and Saphe Cracking, Proceedings of the Symposium on Time Series Analysis, 209

Su, The Effect of Surface Irregularities on Roller Bearing Vibrations, J. Sound Vib., 165, 455, 10.1006/jsvi.1993.1270

Harting, Demodulated Resonance Analysis—A Powerful Incipient Failure Detection Technique, ISA Trans., 17, 35

Frarey, The History and Application of the Envelope Detector

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 Report Nos. MTI-71TR1 and NASA-CR-123717.

Marple, Computing the Discrete-Time Analytic Signal Via FFT, IEEE Trans. Signal Process., 47, 2600, 10.1109/78.782222

Luo, Hilbert Transform and Its Engineering Applications, AIAA J., 47, 923, 10.2514/1.37649