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101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aMachine Health Monitoring and Fault Diagnosis Techniques
210   $cMDPI - Multidisciplinary Digital Publishing Institute$d2023
215   $a1 online resource (374 p.)
311 08$a3-0365-7333-X 
330   $aThis reprint aims to bring together cutting-edge research on machine health monitoring and fault diagnosis techniques. Machine health monitoring and fault diagnosis are crucial aspects of maintaining the reliability and efficiency of industrial machinery. With the increasing complexity of modern machines, there is a growing need for advanced techniques that can quickly detect and diagnose potential faults before they become serious problems. Our goal is to provide a comprehensive overview of the state-of-the-art methods in machine health monitoring and fault diagnosis techniques and stimulate further research in this important field.
606   $aHistory of engineering and technology$2bicssc
606   $aMechanical engineering and materials$2bicssc
606   $aTechnology: general issues$2bicssc
610   $aFault diagnosis
610   $aIntelligent diagnosis algorithm.
610   $aMachine health monitoring
615  7$aHistory of engineering and technology
615  7$aMechanical engineering and materials
615  7$aTechnology: general issues
906   $aBOOK
912   $a9910743280003321
996   $aMachine Health Monitoring and Fault Diagnosis Techniques$93560318
997   $aUNINA