Subway fault association recommendation method based on prior weight and multi-layer TFP algorithm
A recommendation method and failure technology, applied in the direction of calculation, response error generation, structured data retrieval, etc., can solve the problem that the algorithm cannot be well adapted and cannot be suggested by users.
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[0034] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0035] The subway fault association recommendation method based on prior weight and multi-layer TFP algorithm is characterized in that: comprising the following steps:
[0036]The basic data processing step is to analyze the catenary fault data collected on site, and encode all the fault data. In this embodiment, when encoding the fault data, it can be encoded according to the user-defined encoding rules, and after the encoding is completed , forming a fault database divided into three layers, the three layers of data layers in the fault database are respectively: fault type layer, fault equipment layer and fault attribute layer; the data in the fault database completed by coding is carried out according to the needs of users set generation operation to obtain the preprocessed transaction set data; in this embodiment, the encoding rules can ...
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