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Gas Turbine Diagnostics: Signal Processing and Fault Isolation (Paperback)
  • Gas Turbine Diagnostics: Signal Processing and Fault Isolation (Paperback)

Gas Turbine Diagnostics: Signal Processing and Fault Isolation (Paperback)

Paperback 251 Pages / Published: 16/04/2017
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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 that may indicate a fault.

The book brings together recent methods in data filtering, trend shift detection, and fault isolation, including several novel approaches proposed by the author. Each method is demonstrated through numerical simulations that can be easily performed by the reader. Coverage includes:

Filters for gas turbines with slow data availabilityHybrid filters for engines equipped with faster data monitoring systems Nonlinear myriad filters for cases where monitoring of transient data can lead to better fault detectionInnovative nonlinear filters for data cleaning developed using optimization methodsAn edge detector based on gradient and Laplacian calculationsA process of automating fault isolation using a bank of Kalman filters, fuzzy logic systems, neural networks, and genetic fuzzy systems when an engine model is availableAn example of vibration-based diagnostics for turbine blades to complement the performance-based methods

Using simple examples, the book describes new research tools to more effectively isolate faults in gas turbine engines. These algorithms may also be useful for condition and health monitoring in other systems where sharp changes in measurement data indicate the onset of a fault.

Publisher: Taylor & Francis Ltd
ISBN: 9781138074422
Number of pages: 251
Weight: 467 g
Dimensions: 235 x 156 mm


"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 theory and a simple approach for gas turbine engine performance diagnostics."
-Ashwani K. Gupta, University of Maryland, College Park, USA

"... unique ... a single reference for numerous techniques of fault analysis and isolation. The book in its 12 chapters provides an organized way for fault analysis in gas turbines. Simple algorithms using MATLAB (R) are developed based on Kalman filters, neural networks and fuzzy logic, and a hybrid soft computing approach. The book is useful for both engineers and scientists interested in gas turbine diagnostics."
-Dr. Ahmed F. El-Sayed, Zagazig University, Egypt

"The book provides a good overview of the subject of signal processing and fault isolation. The book is well structured, with individual chapters providing a good overview of a specific aspect of the subject. The book would make a good reference text for a more experienced engineer, and also assist those new to the subject to learn about specific signal processing and fault isolation techniques."
-Anthony Geoffrey Sheard, Flakt Woods Limited, UK

"Today's gas turbine industry is a multi-billion dollar business. ... The use of advanced simulation and analysis has been gaining importance, particularly in the area of gas path diagnostics. Whilst academia has made important contributions, it is industry that has to employ these advanced techniques. Professor Ranjan Ganguli's book, Gas Turbine Diagnostics: Signal Processing and Fault Isolation, is an important contribution because of the blend of scholarship and industry practice."
-Professor Riti Singh, Cranfield University, UK

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