Intelligent Diagnosis and Prognosis of Industrial Networked Systems

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.