Application of OLM techniques to enhance the calibration and maintenance practices in ES-salam nuclear research reactor

As a beginning, we consider the case of the coolant pumps (electrical motor and a driven pump) which are critical part in all nuclear facility and are an element in safety processes requiring highest reliability condition monitoring. In order to determine their operational characteristics, degradation mechanisms, and failure modes, we will use some on-line acquired parameters such as: the vibration data collection, temperature measurement, ...etc. Through adequate analysis, including artificial intelligence techniques and frequencial analysis, performed on-line on these recorded data, we will be able to establish a predictive maintenance program for crucial rotating equipment in our research reactor.