Machine Health Monitoring and Fault Diagnosis Techniques

• Other Authors: Sun, Shilong (Editor), Shen, Changqing (Editor), Wang, Dong (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; History of engineering & technology; Mechanical engineering & materials; Machine health monitoring; Fault diagnosis; Intelligent diagnosis algorithm.
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.