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Processing method of predictive models for mechanical faults
Processing method of predictive models for mechanical faults
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机译：机械故障预测模型的处理方法
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摘要
The present invention relates to a technology for predicting a mechanical defect occurring in a facility, and a method of processing a predictive model for a failure prediction of a target facility by a failure prediction system is a time series representing the state of the facility from the start of the facility operation to the occurrence of the failure. Clustering or classifying the entire section as a sub-degradation stage based on the change pattern of the indicator data, extracting the prediction factor, and generating a plurality of prediction models that predict the time of failure, and the entire section The probability of the new time series index data to be predicted in the segmented sub-sections is estimated using the classifier generated when classifying for, and the identifier of the section with the highest estimated probability among the sub-sections for one observation event. Is recorded, the recorded identifier is stored as a sequence according to the time series of the indicator data, and the monotony of the sequence is evaluated for each prediction model to derive a prediction model that is most similar to the new time series indicator data.
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