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TECHNICAL PAPERS: Gas Turbines: Controls, Diagnostics, and Instrumentation

Data Rectification and Detection of Trend Shifts in Jet Engine Path Measurements Using Median Filters and Fuzzy Logic

[+] Author and Article Information
R. Ganguli

Department of Aerospace Engineering, Indian Institute of Science, Bangalore 560 012, India

J. Eng. Gas Turbines Power 124(4), 809-816 (Sep 24, 2002) (8 pages) doi:10.1115/1.1470482 History: Received December 01, 2000; Revised March 01, 2001; Online September 24, 2002
Copyright © 2002 by ASME
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References

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Figures

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Pure and noisy ΔEGT signals for a healthy (no fault) gas turbine
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Effect of a single pass through linear finite impulse response (FIR) filters with varying window lengths on noisy ΔEGT for a healthy gas turbine
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Effect of a single pass through linear infinite impulse response (IIR) filters with varying smoothing factors on noisy ΔEGT for a healthy gas turbine
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Effect of recursive FIR filtering on ΔEGT noisy data for healthy gas turbine engine
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Effect of recursive IIR filtering on ΔEGT noisy data for healthy gas turbine engine
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Effect of recursive finite median hybrid (FMH) filtering on ΔEGT noisy data for healthy gas turbine engine
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Pure and noisy ΔEGT signal for HPC fault (onset at k=51, ends at k=100)
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Effect on noisy data of one pass through FIR filters for a faulty engine
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Effect on noisy data of one pass through IIR filters for a faulty engine
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Effect on noisy data of recursive passes through FIR filters for a faulty engine
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Effect on noisy data of recursive passes through IIR filters for a faulty engine
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Effect on noisy data of recursive passes through FMH filter for a faulty engine
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Fuzzy sets representing linguistic measures of health residual for noisy data
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Fuzzy sets representing linguistic measures of health residual for FMH filtered data
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Schematic representation of fuzzy system for trend shift detection

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