✦ LIBER ✦

Pattern classifier for fault diagnosis of helicopter gearboxes

✍ Scribed by H. Chin; K. Danai; D.G. Lewicki

Publisher: Elsevier Science
Year: 1993
Tongue: English
Weight: 738 KB
Volume: 1
Category: Article
ISSN: 0967-0661
DOI: 10.1016/0967-0661(93)90243-k

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✦ Synopsis

Application of a diagnostic system to a helicopter gearbox is presented. The diagnostic system is a nonparametric pattern classifier that uses a multi-tmlued influen~ matrix (MVIM) as its diagnostic model and benefits from a fast learning algorithm that enables it to estimate its diagnostic model from a small number of measurement-fault data. To test this diagnostic system, vibration measurements were collected from a helicopter gearbox test stand during accelerated fatigue tests and at various fault instances. The diagnostic results indicate that the MVIM system can accurately detect and diagnose various gearbox faults so long as they are included in training.

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