Gas Turbine Diagnostics Signal Processing and Fault Isolation

Introduction
Background
Signal Processing
Typical Gas Turbine Diagnostics
Linear Filters
Median Filters
Least-Squares Approach
Kalman Filter
Influence Coefficients
Vibration-Based Diagnostics

Idempotent Median Filter
Weighted Median Filter
Center Weighted Median Filter
Center Weighted Idempotent Median Filter
Test Signal
Error Measure
Summary

Median-Rational Hybrid Filters
Test Signals
Rational Filter
Median-Rational Filter
Numerical Simulations
Summary

FIR-Median Hybrid Filters
FIR-Median Hybrid (FMH) Filters
Weighted FMH Filter
Test Signal
Numerical Simulations
Summary

Transient Data and the Myriad Filter
Steady-State and Transient Signals
Myriad Filter
Numerical Simulations
Gas Turbine Transient Signal
Weighted Myriad Algorithm
Adaptive Weighted Myriad Filter Algorithm
Summary

Trend Shift Detection
Problem Formulation
Image Processing Concepts
Median Filter
Recursive Median Filter
Cascaded Recursive Median Filter
Edge Detection
Numerical Simulations
Trend Shift Detection
Summary

Optimally Weighted Recursive Median Filters
Weighted Recursive Median Filters
Test Signals
Numerical Simulations
Test Signal with Outliers
Performance Comparison
Three- and Seven-Point Optimally Weighted RM Filters
Simulations

Kalman Filter
Kalman Filter Approach
Single-Fault Isolation
Numerical Simulations
Sensor Error Compensation
Summary

Neural Network Architecture
Artificial Neural Network Approach
Kalman Filter and Neural Network Methods
Autoassociative Neural Network
Summary

Fuzzy Logic System
Module and System Faults
Fuzzy Logic System
Defuzzification
Problem Formulation
Fuzzification
Rules and Fault Isolation
Numerical Simulations
Summary

Soft Computing Approach
Gas Turbine Fault Isolation
Neural Signal Processing—Radial Basis Function Neural Networks
Fuzzy Logic System
Genetic Algorithm
Genetic Fuzzy System
Numerical Simulations
Summary

Vibration-Based Diagnostics
Formulations
Numerical Simulations
Summary

References

Index

Biography

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