Accession Number : ADA265403


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


Descriptive Note : Technical memo.,


Corporate Author : ARMY AVIATION SYSTEMS COMMAND ST LOUIS MO


Personal Author(s) : Chin, Hsinyung ; Danai, Kourosh ; Lewicki, David G


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a265403.pdf


Report Date : Apr 1993


Pagination or Media Count : 32


Abstract : In this paper we investigate the effectiveness of a pattern classifying fault detection system that is designed to cope with the variability of fault signatures inherent in helicopter gearboxes. For detection, the measurements are monitored on-line and flagged upon the detection of abnormalities, so that they can be attributed to a faulty or normal case. As such, 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 influence matrix are tuned during a training session so as to minimize the error in detection. To demonstrate the effectiveness of this detection system, it was applied to vibration measurements collected from a helicopter gearbox during normal operation and at various fault instances. The results indicate that the MVIM method provides excellent results when the full range of faults effects on the measurements are included in the training set.


Descriptors :   *HELICOPTERS , *TRANSMISSIONS(MECHANICAL) , VIBRATION , TRAINING , ERRORS , SIGNATURES , FAULT TREE ANALYSIS , GEARS , TUNING , MONITORING , VIBRATION ISOLATORS


Subject Categories : Helicopters


Distribution Statement : APPROVED FOR PUBLIC RELEASE