Three- and Seven-Point Optimally Weighted Recursive Median Filters for Gas Turbine Diagnostics

Guruprakash, VN and Ganguli, Ranjan (2011) Three- and Seven-Point Optimally Weighted Recursive Median Filters for Gas Turbine Diagnostics. In: Journal of Engineering for Gas Turbines & Power, 133 (10).

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Abstract

Measured health signals incorporate significant details about any malfunction in a gas turbine. The attenuation of noise and removal of outliers from these health signals while preserving important features is an important problem in gas turbine diagnostics. The measured health signals are a time series of sensor measurements such as the low rotor speed, high rotor speed, fuel flow, and exhaust gas temperature in a gas turbine. In this article, a comparative study is done by varying the window length of acausal and unsymmetrical weighted recursive median filters and numerical results for error minimization are obtained. It is found that optimal filters exist, which can be used for engines where data are available slowly (three-point filter) and rapidly (seven-point filter). These smoothing filters are proposed as preprocessors of measurement delta signals before subjecting them to fault detection and isolation algorithms.

Item Type:	Journal Article
Publication:	Journal of Engineering for Gas Turbines & Power
Publisher:	The American Society of Mechanical Engineers
Additional Information:	Copyright of this article belongs to The American Society of Mechanical Engineers.
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	01 Jun 2011 11:58
Last Modified:	01 Jun 2011 11:58
URI:	http://eprints.iisc.ac.in/id/eprint/37805

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