01866nam 2200373z- 450 991074328000332120230911(CKB)5690000000228507(oapen)doab113872(EXLCZ)99569000000022850720230920c2023uuuu -u- -engurmn|---annantxtrdacontentcrdamediacrrdacarrierMachine Health Monitoring and Fault Diagnosis TechniquesMDPI - Multidisciplinary Digital Publishing Institute20231 online resource (374 p.)3-0365-7333-X This 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.History of engineering and technologybicsscMechanical engineering and materialsbicsscTechnology: general issuesbicsscFault diagnosisIntelligent diagnosis algorithm.Machine health monitoringHistory of engineering and technologyMechanical engineering and materialsTechnology: general issuesBOOK9910743280003321Machine Health Monitoring and Fault Diagnosis Techniques3560318UNINA