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This reference uses linear systems theory and matrix operations to offer practical tool sets for intelligent diagnosis and prognosis in industrial networked systems. Giving an overview of diagnosis and prognosis, the book covers fundamental concepts of vectors, matrices, and linear systems. It develops mathematical machineries and decision software tools for real-world applications, including modal parametric identification (MPI) and probabilistic small-signal stability assessment. It also discusses future directions for intelligent diagnosis and prognosis. Written in a concise and accessible style, the book supplies the know-how for engineers and managers making decisions about equipment maintenance, as well as researchers and students.
Chee Khiang Pang is an Assistant Professor in the Department of Electrical and Computer Engineering at National University of Singapore. Frank L. Lewis is a Professional Engineer and Head of Advanced Controls and Sensors Group at the Automation and Robotics Research Institute, The University of Texas at Arlington. Tong Heng Lee is Professor and cluster Head for the Department of Electrical and Computer Engineering at National University of Singapore. Zhao Yang Dong is Associate Professor for the Department of Electrical Engineering at The Hong Kong Polytechnic University.
Introduction. Vectors, Matrices, and Linear Systems. Modal Parametric Identification (MPI). Dominant Feature Identification (DFI). Probabilistic Small Signal Stability Assessment. Discrete Event Command and Control. Future Challenges. References. Index.
