IMPROVEMENT OF MACHINERY MAINTENANCE MANAGEMENT USING ARTIFICIAL INTELLIGENCE BASED VIBRATION ANALYSIS

This study aimed to identify the benefits and challenges of applying Artificial Intelligence (AI) for Vibration
Analysis to improve industrial machinery maintenance. The study identified that the quality of any Machinery
maintenance management strategy depends on the accuracy of acquiring machinery operating condition data,
accurately analyzing the data to determine any performance deviation, identifying incipient faults in any
machine component parts and then presenting that information in a timely manner for maintenance actions to
taken before failure occurs. Therefore, the process should be automated to eliminate delays due to human
interventions. Based on this requirement, this research proposed a framework for AI based vibration condition
monitoring and fault diagnosis for the improvement of industrial machinery maintenance management.