Gas Turbine Diagnostics

Dr. Ranjan Ganguli is a professor in the Aerospace Engineering Department of the Indian Institute of Science (IISc), Bangalore. He received his MS and Ph.D. degrees from the Department of Aerospace Engineering at the University of Maryland, College Park, and his B.Tech. degree in aerospace engineering from the Indian Institute of Technology. He has worked at Pratt & Whitney on engine gas path diagnostics and, during his academic career at IISc, has conducted sponsored research projects for companies such as Boeing, Pratt & Whitney, Honeywell, and HAL. He has authored or coauthored three books, published more than 140 papers in refereed journals, and presented more than 80 papers at conferences. He is a fellow of the American Society of Mechanical Engineers, the Royal Aeronautical Society, and the Indian National Academy of Engineering, and an associate fellow of the American Institute of Aeronautics and Astronautics. He received the Alexander von Humboldt Fellowship and the Fulbright Fellowship in 2007 and 2011, respectively. He is an associate editor of the AIAA Journal and the Journal of the American Helicopter Society.

"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® 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

• Introduction. Idempotent Median Filters. Median-Rational Hybrid Filters. FIR-Median Hybrid Filters. Transient Data and the Myriad Filter. Trend Shift Detection. Optimally Weighted Recursive Median Filters. Kalman Filter. Neural Network Architecture. Fuzzy Logic System. Soft Computing Approach. Vibration-Based Diagnostics. References. Index.