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Gas Turbine Diagnostics : Signal Processing and Fault Isolation.

Author: Ranjan Ganguli
Publisher: Hoboken : CRC Press, 2012.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Widely used for power generation, gas turbine engines are susceptible to faults due to the harsh working environment. Most engine problems are preceded by a sharp change in measurement deviations compared to a baseline engine, but the trend data of these deviations over time are contaminated with noise and non-Gaussian outliers. Gas Turbine Diagnostics: Signal Processing and Fault Isolation presents signal  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Ganguli, Ranjan.
Gas Turbine Diagnostics : Signal Processing and Fault Isolation.
Hoboken : CRC Press, ©2012
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ranjan Ganguli
ISBN: 9781466502819 1466502819
OCLC Number: 830162598
Description: 1 online resource (235 pages)
Contents: Front Cover; Contents; Preface; About the Author; Chapter 1 --
Introduction; Chapter 2 --
Idempotent Median Filters; Chapter 3 --
Median-Rational Hybrid Filters; Chapter 4 --
FIR-Median Hybrid Filters; Chapter 5 --
Transient Data and the Myriad Filter; Chapter 6 --
Trend Shift Detection; Chapter 7 --
Optimally Weighted Recursive Median Filters; Chapter 8 --
Kalman Filter; Chapter 9 --
Neural Network Architecture; Chapter 10 --
Fuzzy Logic System; Chapter 11 --
Soft Computing Approach; Chapter 12 --
Vibration-Based Diagnostics; References; Back Cover.

Abstract:

Widely used for power generation, gas turbine engines are susceptible to faults due to the harsh working environment. Most engine problems are preceded by a sharp change in measurement deviations compared to a baseline engine, but the trend data of these deviations over time are contaminated with noise and non-Gaussian outliers. Gas Turbine Diagnostics: Signal Processing and Fault Isolation presents signal processing algorithms to improve fault diagnosis in gas turbine engines, particularly jet engines. The algorithms focus on removing noise and outliers while keeping the key signal features t.

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"Very well written and easy to understand for practical use by engineers in industry and researchers from academia and industry. ... Excellent book on the topic with comprehensive description of the Read more...

 
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