Improved Reliability
The two key maintenance parameters to ensure reliability are potential failure time and function failure time. According to theoretical and practical study, Potential Failure time and function failure time. The current business is to estimate these times by inspecting the asset material, test the degradation process, manufacturer’s suggestion, and time-based inspection. These physical and experience based approaches have a high uncertainty of the reliability, due to estimation bias. Differently, SafeCBM takes advantage of Big Data and deep learning to accurately learn RUL, denoted by the Reminding Useful Time, Reminding Time before Failure, and the Probability of Failure at a given time instance, This allows power plants to schedule a Predictive Maintenance on time to prevent functional failure under a given reliability requirement of a NPP equipment.