Niu, Gang. <br/><br/>
Data-Driven Technology for Engineering Systems Health Management  Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions /  [electronic resource] : 

 - 1st ed. 2017. 
 - XIII, 357 p. 204 illus.  | Binding - Card Paper | 
<br/><br/> This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis. 
<br/><br/><label>ISBN: </label>9789811020322 
<br/><br/><label>Subjects--Topical Terms: </label><br/>EXTC Engineering
<br/><br/><label>Subjects--Index Terms: </label>Quality Control, Reliability, Safety and Risk. Data Mining and Knowledge Discovery. 
<br/><br/><label>Dewey Class. No.: </label>658.56