Fault Detection of Helicopter Gearboxes Using the Multi-Valued Influence Matrix Method-Reference-Cited by-同舟云学术

Fault Detection of Helicopter Gearboxes Using the Multi-Valued Influence Matrix Method

Published:1995-06-01 Issue:2A Volume:117 Page:248-253
ISSN:1050-0472
Container-title:Journal of Mechanical Design
language:en
Short-container-title:

Author:

Chin H.¹,Danai K.¹,Lewicki D. G.²

Affiliation:

1. Department of Mechanical Engineering, University of Massachusetts, Amherst, MA 01003

2. U.S. Army Research Laboratory, Vehicle Propulsion Directorate, NASA Lewis Research Center, Cleveland, OH 44135

Abstract

Fault detection of a helicopter gearbox by pattern classification is discussed. The detection system is composed of two components, a quantization matrix to flag the measurements, and a multi-valued influence matrix (MVIM) that represents the behavior of measurements during normal operation and at fault instances. Both the quantization matrix and the influence matrix are tuned during a training session so as to minimize the error in detection. This detection system was applied to vibration measurements collected from a helicopter gearbox test stand during accelerated fatigue tests and at various fault instances. The results indicate that the MVIM method provides accurate detection when the full range of faults effects on the measurements are included in the training set. Furthermore, the fixed structure of MVIM allows evaluation of individual measurements. This feature was utilized to select a subset of measurements crucial to detection.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Link

http://asmedigitalcollection.asme.org/mechanicaldesign/article-pdf/117/2A/248/5668032/248_1.pdf

Reference17 articles.

1. Astridge, D. G., 1986, “Vibration Health Monitoring of the Westland 30 Helicopter Transmission—Development and Service Experience,” Mechanical Failure Prevention Group 41th Meeting, Oct., pp. 200–215.

2. Braun, S., 1986, Mechanical Signature Analysis—Theory and Applications, Academic Press, New York, NY.

3. Cempel C. , 1988, “Vibroacoustical Diagnostics of Machinery: An Outline,” Mechanical Systems and Signal Processing, Vol. 2, No. 2, pp. 135–151.

4. Chin, H., and Danai, K., 1991, “Fault Diagnosis of Helicopter Power Trains,” Proc. of the 17th Annual NSF Grantees Conference in Design and Manufacturing Systems Research, Austin, TX, Jan., pp. 787–790.

5. Chin H. , DanaiK., and LewickiD. G., 1993, “Pattern Classifier for Fault Diagnosis of Helicopter Gearboxes,” IFAC J. of Control Engineering Practice, Vol. 1, No. 5, pp. 771–778.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Enhanced Diagnostic Scheme for Bearing Condition Monitoring;IEEE Transactions on Instrumentation and Measurement;2010-02

2. A review of vibration-based techniques for helicopter transmission diagnostics;Journal of Sound and Vibration;2005-04

3. Reliability of production systems;Applied Optimization;2001

4. QUADRATIC AND INSTANTANEOUS FREQUENCY ANALYSIS OF HELICOPTER GEARBOX FAULTS;Mechanical Systems and Signal Processing;2000-07

5. Effects of Planetary Speed-Reduction Ratio on Mean Service Life;Journal of Mechanical Design;1998-03-01