Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

<p>This book unifies existing and emerging concepts concerning state estimation fault detection fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science signal processing and machine learning. </p><p>Features:</p><ul> <p> </p> <li>Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities.</li> <p> </p> <li>Explains theories techniques and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective.</li> <p> </p> <li>Provides a series of latest results in robust/stochastic filtering multidate sample and time-varying system.</li> <p> </p> <li>Captures diagnosis (fault detection fault isolation and fault estimation) for time-varying multi-rate systems.</li> <p> </p> <li>Includes simulation examples in each chapter to reflect the engineering practice.</li> </ul><p>This book aims at graduate students professionals and researchers in control science and application system analysis artificial intelligence and fault diagnosis.</p>