NDLI: Fault detection in a laboratory helicopter employing a wavelet-based analytical redundancy approach

Content Provider	IEEE Xplore Digital Library
Author	Waschburger, R. Paiva, H.M. Ribeiro e. Silva, J.J. Galvao, R.K.H.
Copyright Year	2010
Description	Author affiliation: Electronics Engineering Department, Instituto Tecnolo´gico de Aerona´utica (ITA), Sao Jose´ dos Campos, SP, 12228-900, Brazil (Waschburger, R.; Paiva, H.M.; Ribeiro e Silva, J.J.; Galvao, R.K.H.)
Abstract	Wavelet-based techniques for fault detection usually employ one of two basic approaches, namely (a) decomposition of a measured signal containing fault-related information or (b) decomposition of a residue calculated as the difference between sensor readings and the output of a model. An alternative approach, which was recently proposed in [1], consists of employing the wavelet transform to identify a subband model for the normal dynamical behaviour of the system. The resulting subband model is then used to generate a residual signal. Such a fault detection approach was shown to provide good results in terms of sensitivity and false alarm rate. However, the examples presented for validation were previously restricted to simulation studies. The present work is concerned with the application of this wavelet-based fault detection technique to a more elaborate case study involving experimental data. The system at hand consists of a laboratory helicopter operating under closed-loop control in the presence of a persistent disturbance. The results indicate that the technique under consideration can successfuly detect a fault of small magnitude, consisting of a 10% reduction in the pitch sensor gain. Moreover, the wavelet approach is shown to outperform a time-domain detector with similar configuration.
Starting Page	70
Ending Page	75
File Size	193232
Page Count	6
File Format	PDF
ISBN	9781424481538
e-ISBN	9781424481545
DOI	10.1109/SYSTOL.2010.5676049
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Analytical redundancy Wavelet transform Fault detection Laboratory helicopter Helicopters Redundancy Time domain analysis Circuit faults Approximation methods
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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