Predictive Maintenance and Condition Monitoring in Machine Tools: An IoT Approach
Brett Sicard, Naseem Alsadi, Petros Spachos, Youssef Ziada, S. Andrew Gadsden
20222022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)22 citationsDOI
Abstract
To maximize efficiency, quality of products, and profits, it is important to maintain machine tools to reduce downtime and maximize output. Predictive maintenance is the most efficient method of condition monitoring and maintenance. An Internet of Things approach can help implement an autonomous predictive CM system in manufacturing facilities. The critical parameters of sensor selection, communication, and data analysis have been examined. The components that make up an effective IoT CM system have been discussed and analyzed. An IoT approach has been shown to eliminate the disadvantages of traditional manual CM approaches.
Topics & Concepts
DowntimePredictive maintenanceInternet of ThingsComputer scienceCondition monitoringQuality (philosophy)Reliability engineeringPreventive maintenanceSelection (genetic algorithm)Embedded systemEngineeringMachine learningPhilosophyElectrical engineeringEpistemologyAdvanced machining processes and optimizationIndustrial Vision Systems and Defect DetectionFault Detection and Control Systems