02510nam 2200661 a 450 991096192170332120251117075804.01-61470-111-3(CKB)2670000000129264(EBL)3019391(SSID)ssj0000690370(PQKBManifestationID)12267015(PQKBTitleCode)TC0000690370(PQKBWorkID)10620322(PQKB)11751908(MiAaPQ)EBC3019391(Au-PeEL)EBL3019391(CaPaEBR)ebr10670956(OCoLC)923661039(BIP)23699488(EXLCZ)99267000000012926420080909d2009 uy 0engur|n|---|||||txtccrIntroduction of intelligent machine fault diagnosis and prognosis /Bo-Suk Yang and Achmad Widodo1st ed.New York Nova Science Publishersc20091 online resource (363 p.)Description based upon print version of record.1-60692-263-7 Includes bibliographical references and index.Data acquisition, processing, and analysis -- Feature extraction and clustering -- Feature selection -- Fault classification algorithms -- Decision fusion algorithms -- Fault prognosis algorithms.This text book is easy to study; even if the reader is a beginner in the fault diagnosis area, they do not need special prerequisite knowledge to understand the contents. The book is equipped with software under MATLAB and offers many examples which are related to fault diagnosis processes.Fault location (Engineering)AutomationAutomatic test equipmentExpert systems (Computer science)Conscious automataMachine learningMachineryTestingFault location (Engineering)Automation.Automatic test equipment.Expert systems (Computer science)Conscious automata.Machine learning.MachineryTesting.620/.0044Yang O-Suk1870034Widodo Achmad1870035MiAaPQMiAaPQMiAaPQBOOK9910961921703321Introduction of intelligent machine fault diagnosis and prognosis4478355UNINA