1results about How to "Predict failure" patented technology

This invention presents a data-driven method for assessing the condition and predicting the lifespan of nuclear power plant transformers. The method includes: collecting actual test, maintenance, and operation data of nuclear power plant transformers; combining this data with multiphysics simulation data to construct a dataset for assessing the condition of nuclear power plant transformers; using a large dataset of actual and simulated data, employing data mining methods to calculate the Mahalanobis distance between the aging data and the health baseline model of the nuclear power plant transformers, and classifying the equipment into different health levels accordingly to achieve accurate assessment of equipment condition; and through intelligent analysis of the obtained current health status and operational data of the nuclear power plant transformers, predicting faults and remaining lifespan. This invention effectively overcomes the shortcomings of traditional equipment condition monitoring and operation and maintenance decision-making processes that rely on manual experience, improving the accuracy and real-time performance of equipment condition assessment, and enabling the prediction of remaining lifespan and faults.