A method and device for evaluating the health status of pole-mounted switch complete sets of equipment based on a hybrid intelligent algorithm
An intelligent algorithm and health state technology, applied in computing, instrumentation, data processing applications, etc., can solve the problem of low accuracy, achieve the effect of ensuring objectivity and accuracy, improving computing efficiency, and improving scientificity
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Embodiment 1
[0068] This embodiment provides a method for assessing the health status of pole-mounted switch complete equipment based on a hybrid intelligent algorithm. Please refer to figure 1 , the method includes:
[0069] Step S1: Collect sample data of the complete set of on-column switches, wherein the sample data includes online operation information, offline information, table information, and historical fault information of the complete set of on-column switches.
[0070] Among them, the sample data of the complete set of switches on the pole is described by state quantities and characteristic values, where the state quantities are the parameters of the state of the components of the complete set of switches on the pole, and the characteristic values are the components of the complete set of switches on the pole. According to the source of the sample data and the update time of the data, the state quantity is divided into static parameters, dynamic parameters, quasi-dynamic para...
Embodiment 2
[0150] This embodiment provides a device for evaluating the health status of pole-mounted switch complete equipment based on a hybrid intelligent algorithm. Please refer to Figure 7 , the device consists of:
[0151] The sample data collection module 201 is used to collect sample data of the complete set of on-column switch equipment, wherein the sample data includes online operation information, offline information, table information, and historical fault information of the complete set of on-column switch equipment;
[0152] Data conversion and cleaning module 202, used for converting and cleaning the collected sample data;
[0153] The mixed intelligent algorithm health status assessment model building module 203 is used to use the transformed and cleaned sample data as training data to establish SVR, BPNN, and ELM single intelligent algorithm health status assessment models, and according to each single intelligent algorithm health status assessment model Based on the pr...
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