Integrating Survival Analysis with Bayesian Statistics to Forecast the Remaining Useful Life of a Centrifugal Pump Conditional to Multiple Fault Types

نویسندگان

چکیده

To improve the viability of nuclear power plants, there is a need to reduce their operational costs. Operational costs account for significant portion plant’s yearly budget, due scheduled-based maintenance approach. In order these costs, proactive methods are required that estimate and forecast state machine in real time optimize schedules. this research, we use Bayesian networks develop framework can remaining useful life centrifugal pump. do so, integrate survival analysis with statistics health pump conditional its current state. We complete our research by successfully using network on case study. This solution provides an informed probabilistic viewpoint pumping system purpose predictive maintenance.

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ژورنال

عنوان ژورنال: Energies

سال: 2023

ISSN: ['1996-1073']

DOI: https://doi.org/10.3390/en16093707