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Equipment health assessment method based on joint learning and terminal equipment

A technology of health assessment and equipment, applied in the field of artificial intelligence, can solve problems such as blurred excessive areas

Pending Publication Date: 2022-07-19
ENNEW DIGITAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no clear boundary between health ratings, only vague transitional areas

Method used

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  • Equipment health assessment method based on joint learning and terminal equipment
  • Equipment health assessment method based on joint learning and terminal equipment
  • Equipment health assessment method based on joint learning and terminal equipment

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Embodiment Construction

[0039] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are set forth in order to provide a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0040] In order to illustrate the technical solutions of the present invention, the following specific embodiments are used for description.

[0041] like figure 1 As shown, an embodiment of the present invention provides a joint learning-based device health assessment method, wherein the device health assessment method of the present invention includes:

[0042] Step S...

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Abstract

The invention provides an equipment health assessment method and terminal equipment based on joint learning, and the method comprises the steps: obtaining a plurality of parameters of equipment; performing fuzzification processing on the plurality of parameters to obtain membership degrees of the plurality of parameters to different fuzzy sets; performing fuzzy reasoning on membership degrees of different fuzzy sets based on the plurality of parameters to obtain fuzzy subsets; performing defuzzification on the fuzzy subset to obtain a fuzzy set of output variable parameters; in the joint learning architecture, fusion is carried out based on the fuzzy set of the output variable parameters to obtain an evaluation value of the equipment; and determining a health assessment value of the device based on the evaluation value.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and particularly relates to a device health assessment method and terminal device based on joint learning. Background technique [0002] An integrated energy system is a system that is connected by a variety of equipment and pipelines, has a variety of energy input, conversion, and can supply a variety of energy to different users. The equipment in the integrated energy system includes: gas internal combustion engine, waste heat boiler, steam boiler, bromine cooler, photovoltaic equipment, ground source heat pump, wind energy equipment, energy storage equipment, etc. [0003] For a large number of integrated energy equipment, the premise of condition-based maintenance is to decide when and how to maintain the equipment according to the health status of the equipment. Therefore, evaluating the health status of equipment and determining the degradation of equipment health status is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N3/04G06N5/04G06N3/08
CPCG06Q10/0639G06Q50/06G06N5/048G06N3/08G06N3/043
Inventor 张燧
Owner ENNEW DIGITAL TECH CO LTD
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