An equipment health state assessment and prediction method based on industrial big data
A health status and prediction method technology, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., to achieve the effect of scientific health status
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[0061] A method for evaluating and predicting equipment health status based on industrial big data described in this example, its calculation process is as follows figure 1 and image 3 , mainly including the following parts:
[0062] S1. First select several sets of relatively complete run-to-failure life cycle data from the equipment status data set, and select characteristic parameters that can represent the degradation state of the equipment and can be continuously monitored and recorded as the degradation variables of the equipment. Different types of industrial equipment can choose their own parameters to be monitored, mainly including speed, flow rate, pressure, temperature, power, current, etc.
[0063] S2. Perform effective data preprocessing for data-related degenerate variables, including normalization and feature reduction based on principal component analysis, and eliminate redundant variables in sample data;
[0064] Among them, the normalization adopts the max...
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