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A Machine Learning-Based Prediction Method and System for Low Oil Pressure Faults

This invention discloses a machine learning-based method and system for predicting low oil pressure faults, relating to the field of engine oil maintenance. The method includes the following steps: acquiring oil pressure samples within a prediction period, with each sample corresponding to a vehicle; training a machine learning model on all oil pressure samples to obtain a fault prediction model; and calculating the fault prediction result using the oil pressure data of the vehicle under test. This invention can obtain a fault prediction model through machine learning training based on relevant oil pressure data. This model can calculate and push the probability of an oil pressure fault occurring in the future in real time, thereby providing timely warnings to users, reminding them of potential faults, and guiding them to change the oil in advance to avoid driving safety issues caused by oil pressure-related faults.
Owner:DONGFENG COMML VEHICLE CO LTD