Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery outlines the fundamental theories and the advanced methods of intelligent fault diagnosis and the remaining useful life （RUL） prediction for rotating machinery. These methods are paralleled by experimental investigations and real applications for rotors，rolling element bearings， and gears. The book I~rovides a guide to the basic concepts，fundamental theories， and cutting-edge research， and is especially useful for readers engaged in prognostics and health management. Features Provides a detailed background and roadmap of intelligent diagnosis and RUL prediction of rotating machinery， involving fault mechanisms， vibration characteristics， health indicators， diagnostics and prognostics. Presentsbasic theories， advanced methods， and the latest contributions in the field of intelligent fault diagnosis and RUL prediction， such as deep learning based intelligent fault diagnosis， adaptive clustering algorithm based fault identification，multidimensional hybrid intelligent diagnosis， and data-driven or model-based RUL prediction methods. Presents numerous case studies. The methods， algorithms， and models introduced in the book are demonstrated by'real applications， and industrial experience is summarized based on the cases， effectively combining theory and practice.