Scheduling of condition-based predictive maintenance in ANSDK using computer based on-line monitoring network

Investment in monitoring systems can be used towards the reduction of the maintenance cost of modern plants. Sensors and instrumentation, which record variables describing performance, vibrations, and other process parameters, have granted new opportunities in the design of trend-monitoring systems. These systems can be used toward scheduling of maintenance without impacting planned production schedules. Further, by monitoring these variables to provide information about the changing life expectancy, maintenance engineers can base service on actual field conditions, rather than relying solely on standard machine life estimates. Moreover, these systems can increase the overall efficiency by reducing energy consumption. Energy conservation for any industry is critical because of the high cost of electricity and the rapid technological concern for energy efficiency in our society. Significant amounts of energy and money can be saved by proper maintenance in a mechanical drive system. There is a strong linkage between the mechanical vibration, temperature of the machine parts, mechanical efficiency, and energy consumption of a machinery. Through our international joint project, "Scheduling of Condition-based Preventive Maintenance in ANSDK Using Computer-based On-line Monitoring Network", between USA and Egypt, we extend our vibration analysis application in the end user plant. ANSDK is the largest modern steel plant in Egypt. This paper describes our experiences in implementing applications of predictive CMMS in ANSDK and their results.