Condition Monitoring and Fault Diagnosis of Rotating Machinery Towards Intelligent Manufacturing: Review and Prospect

Rotating machinery is advancing in the direction of high efficiency, high rotary speed, enhanced automation, and widespread application with the quickening growth of intelligent manufacturing. However, in the real operation process, it will inevitably incur wear, corrosion, fracture and other phenomena due to many negative factors such as vibration, impact, unsuitable lubrication and long-term abnormal usage. First, the review and succinct analysis are undertaken to aid in understanding condition monitoring and fault diagnosis of bearings. Then, this review examines identification, monitoring, categorization, and diagnostic procedures and illustrates how bearings' geometrical tolerance and form profile are sensitive to failure. Therefore, a number of strategies, including artificial intelligence (AI) and traditional diagnosis methods are explored. The upcoming digital twin and AI technologies are also introduced and compared. Finally, by evaluating the current state of condition monitoring and fault diagnosis in industrial applications, future technical trends are predicted, and unresolved concerns are emphasized.