Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines

Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, whi...