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Denoising Jet Engine Gas Path Measurements Using Nonlinear Filters

Verma, Rajeev and Ganguli, Ranjan (2005) Denoising Jet Engine Gas Path Measurements Using Nonlinear Filters. In: IEEE/ASME Transactions on Mechatronics, 10 (4). pp. 461-464.

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Abstract

Traditionally, linear filters have been used to smooth time series of gas path measurements before performing fault detection and isolation. However, linear filters can smooth out sharp trend shifts in the signal and are also not good at removing outliers. Since most fault detection and isolation algorithms are optimized for Gaussian noise, they can show performance degradation when outliers are present. In this study, numerical results with simulated data for engine deterioration and abrupt fault show that the nonlinear rational filter with median preprocessor are useful for gas turbine health monitoring applications resulting in noise reduction of 73%-96% while preserving signal features and removing outliers.

Item Type: Journal Article
Additional Information: Copyright 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Fault diagnosis;Gas turbines;Signal processing
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 25 Aug 2008
Last Modified: 19 Sep 2010 04:36
URI: http://eprints.iisc.ernet.in/id/eprint/10502

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