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Equipment fault prediction method and device, readable storage medium and electronic equipment

A technology for equipment failure and failure prediction, applied in the energy field, can solve the problems of low equipment accuracy and small data dimension, and achieve the effect of improving data dimension, accurate prediction and increasing data volume

Pending Publication Date: 2022-06-21
ENNEW DIGITAL TECH CO LTD
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Problems solved by technology

[0004] However, the equipment operation data is based on the sensor data on the equipment, and the data dimensions may be less, resulting in lower accuracy of equipment failure prediction

Method used

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  • Equipment fault prediction method and device, readable storage medium and electronic equipment
  • Equipment fault prediction method and device, readable storage medium and electronic equipment
  • Equipment fault prediction method and device, readable storage medium and electronic equipment

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Embodiment Construction

[0024] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to specific embodiments and corresponding drawings. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0025] like figure 1 As shown, it is a method provided by an embodiment of the present invention. The method provided by the embodiment of the present invention can be applied to an electronic device, and specifically can be applied to a server or a general computer. In this embodiment, the method specifically includes the following steps:

[0026] Step 101: Acquire respective fault sample data set...

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Abstract

The invention discloses an equipment fault prediction method and device, a computer readable storage medium and electronic equipment. The method comprises the following steps: acquiring a fault sample data set of each reference equipment; determining a local fault prediction model corresponding to each fault sample data set; determining a target fault prediction model according to each local fault prediction model; according to the target fault prediction model, fault information of target equipment is predicted, and the similarity between the target equipment and the reference equipment meets a prediction condition. According to the technical scheme of the invention, the obtained target fault prediction model comprehensively considers the fault sample data sets of a plurality of reference devices, the data dimension is improved, and the data volume is increased, so that the fault information of the target device can be predicted more accurately.

Description

technical field [0001] The present invention relates to the field of energy technology, and in particular, to a device failure prediction method, device, readable storage medium and electronic device. Background technique [0002] Predicting equipment failures has become an important technical means to ensure the normal operation of equipment. Equipment failure prediction is to predict whether the equipment fails, or the probability of equipment failure, based on equipment operation data. [0003] At present, equipment operation data is collected by sensors, and then a fault prediction model is constructed according to the equipment operation data, and equipment fault prediction is realized through the fault prediction model. [0004] However, the equipment operation data is based on the sensor data on the equipment, and the data dimension may be less, resulting in lower accuracy of equipment failure prediction. SUMMARY OF THE INVENTION [0005] The present invention pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/12
CPCG06N3/126G06F18/214G06F18/2415
Inventor 徐少龙张燧余真鹏金成浩
Owner ENNEW DIGITAL TECH CO LTD
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