Fault Detection of Helicopter Gearboxes Using the Multi-valued Influence Matrix Method
Author : Hsinyung Chin
Publisher :
Page : 36 pages
File Size : 49,28 MB
Release : 1993
Category : Helicopters
ISBN :
Author : Hsinyung Chin
Publisher :
Page : 36 pages
File Size : 49,28 MB
Release : 1993
Category : Helicopters
ISBN :
Author :
Publisher :
Page : 492 pages
File Size : 28,51 MB
Release : 1994
Category : Aeronautics
ISBN :
Author : National Aeronautics and Space Administration (NASA)
Publisher : Createspace Independent Publishing Platform
Page : 34 pages
File Size : 16,55 MB
Release : 2018-07-03
Category :
ISBN : 9781722231965
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. Chin, Hsinyung and Danai, Kourosh and Lewicki, David G. Glenn Research Center DA PROJ. 1L1-62211-A-47-A; RTOP 505-63-36...
Author :
Publisher :
Page : 994 pages
File Size : 12,18 MB
Release : 1995
Category : Aeronautics
ISBN :
Author : Michael G. Pecht
Publisher : John Wiley & Sons
Page : 335 pages
File Size : 33,94 MB
Release : 2008-09-11
Category : Technology & Engineering
ISBN : 0470385839
The first book on Prognostics and Health Management of Electronics Recently, the field of prognostics for electronic products has received increased attention due to the potential to provide early warning of system failures, forecast maintenance as needed, and reduce life cycle costs. In response to the subject's growing interest among industry, government, and academic professionals, this book provides a road map to the current challenges and opportunities for research and development in Prognostics and Health Management (PHM). The book begins with a review of PHM and the techniques being developed to enable a prognostics approach for electronic products and systems. building on this foundation, the book then presents the state of the art in sensor systems for in-situ health and usage monitoring. Next, it discusses the various models and algorithms that can be utilized in PHM. Finally, it concludes with a discussion of the opportunities in future research. Readers can use the information in this book to: Detect and isolate faults Reduce the occurrence of No Fault Found (NFF) Provide advanced warning of system failures Enable condition-based (predictive) maintenance Obtain knowledge of load history for future design, qualification, and root cause analysis Increase system availability through an extension of maintenance cycles and/or timely repair actions Subtract life cycle costs of equipment from reduction in inspection costs, down time, and inventory Prognostics and Health Management of Electronics is an indispensable reference for electrical engineers in manufacturing, systems maintenance, and management, as well as design engineers in all areas of electronics.
Author :
Publisher :
Page : 584 pages
File Size : 38,4 MB
Release : 1993
Category : Mechanical engineering
ISBN :
Author :
Publisher :
Page : pages
File Size : 15,23 MB
Release : 1994
Category : Government publications
ISBN :
Author :
Publisher :
Page : 1020 pages
File Size : 26,23 MB
Release : 1994
Category : Government publications
ISBN :
Author : H. Chin
Publisher :
Page : 6 pages
File Size : 37,65 MB
Release : 1993
Category : Helicopters
ISBN :
Application of a diagnostic system to a helicopter gearbox is presented. The diagnostic system is a nonparametric pattern classifier that uses a multi-valued influence 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.
Author :
Publisher :
Page : 990 pages
File Size : 17,26 MB
Release : 1976
Category : Mechanics, Applied
ISBN :