Advances in Machine Condition Monitoring and Fault Diagnosis

In the past few decades, with the great progress made in the field of computer technology, non-destructive testing, signal and image processing, and artificial intelligence, machine condition monitoring and fault diagnosis technology have also achieved great technological progress and played an active and important role in various industries to ensure the efficient and reliable operation of machines, lower the operation and maintenance costs, and improve the reliability and availability of large critical equipment. However, with the continual advance of intelligent production and the emergence and flourishing of new production fields, such as renewable energy, medical care, and remote sensing, today’s research into machine condition monitoring and fault diagnosis technology has become even richer than ever before. The object being dealt with is no longer restricted to a specific machine or component but extends to more complex systems or even the whole industrial production lines (e.g., industrial assembly lines). The purpose of condition monitoring is no longer just to determine whether the machine is operating properly or whether certain predictable or unpredictable faults have occurred in the machine but extends to providing more reliable and valid information for fault ride-through and optimizing machine operation and industrial production, or even to directly guiding the operation of the machine. This special issue has been organised specifically to reflect on these new changes and the latest research results achieved in these areas.