Intelligent predictive maintenance of dynamic systems using condition monitoring and signal processing techniques — A review

Machines without vibrations during operation are something non-existent which results in deterioration of machine tools. The condition based monitoring has become a crucial technique to ensure the machine availability by timely maintenance actions and reducing breakdown maintenance. Several condition monitoring techniques have been reported viz. vibration monitoring, acoustic emission monitoring, chemical monitoring, thermal monitoring and therefore new methods to improve the reliability, effectiveness, accuracy of the fault detection need to be evaluated. Vibration analysis is proven to be an important criterion for fault diagnosis in manufacturing processes and maintenance scheduling for various manufacturing equipment. This paper presents an overview of recent trends in condition monitoring and signal processing methods used for predictive maintenance of dynamic systems.