Electromechanical product system or equipment real-time fault diagnosis method based on width learning
A technology for electromechanical products and learning systems, applied in general control systems, control/regulation systems, testing/monitoring control systems, etc. precise effect
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[0047] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
[0048] Embodiments of the present invention provide a width-based learning-based mechanical product system or device real-time fault diagnosis method, such as figure 1 As shown, the specific steps include:
[0049] Step 1: Collect the failure status of electromechanical product systems or equipment in a period of time and related monitoring data as historical monitoring data;
[0050] Under normal circumstances, the acquired system or device failure status monitoring data is heterogeneous data, including continuous features, discrete features, and signal characteristics.
[0051] Step 2: Data pretreatment of historical monitoring data, including the lack value, abnormal value, dimensional gap, and digitization processing, etc., the pretreatment data set [x, y]. Extract the key indicators of the signal characteristics and digitize the discrete feature, you can convert the ...
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