Equipment fault probability evaluation method and system based on text mining
A text mining, equipment failure technology, applied in the field of energy Internet, can solve problems such as effective evaluation of difficult failure probability, difficulty in reporting manual classification, etc.
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Embodiment 1
[0038] refer to Figure 1~5 , which is the first embodiment of the present invention, this embodiment provides a method for evaluating the probability of equipment failure based on text mining, including:
[0039] S1: Perform failure mode impact analysis on relevant equipment. It should be noted that the failure mode impact analysis of related equipment includes related equipment, each of which is composed of multiple smaller components, and the components exhibit different failure modes; according to the characteristics and uniqueness of related equipment, the equipment is divided into Several parts, and each part is further divided into different components and corresponding failure modes, which are classified and numbered to form failure texts, so that components can be associated with their corresponding failure modes;
[0040] Wherein, the fault text includes, and the more comprehensive the fault text record is, the higher the accuracy of fault probability calculation is...
Embodiment 2
[0058] refer to Figure 6 , is the second embodiment of the present invention, which is different from the first embodiment in that it provides a text mining-based equipment failure probability evaluation system, including: analysis module 100, data classification module 200 and calculation Module 300. More specifically, the analysis module 100 is used to analyze the impact of the failure mode on the relevant equipment, and upload the analysis results to the data classification module 200; the data classification module 200 is used to analyze the text recorded during the operation of the relevant equipment The data is classified, and the classification result is uploaded to the calculation module 300; the calculation module 300 includes a component calculation unit 301 and a device calculation unit 302, wherein the component calculation unit 301 is connected to the data classification module 200 and can receive data uploaded by the data classification module 200. The classifi...
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