Equipment wear prediction method and device

A prediction method and equipment technology, applied in the direction of measuring devices, neural learning methods, testing of mechanical components, etc., can solve the problem of low accuracy of equipment wear prediction and achieve the effect of improving prediction accuracy

Inactive Publication Date: 2020-04-03
北京昊鹏智能技术有限公司
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AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method and device for predicting equipment wear to solve the problem of low prediction accuracy of equipment wear in the prior art

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  • Equipment wear prediction method and device
  • Equipment wear prediction method and device

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Embodiment Construction

[0048] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0049]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments...

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Abstract

The invention provides an equipment wear prediction method and device. The method comprises the following steps: acquiring oil analysis data of equipment, wherein the oil analysis data comprises at least one oil parameter; the oil analysis data is input into a first prediction model, a first prediction result output by the first prediction model is obtained, the first prediction model is established through historical oil analysis data training of equipment, and the first prediction result comprises prediction data of at least one oil parameter at the current moment; and the first prediction result is input into a second prediction model, a second prediction result output by the second prediction model is acquired, the second prediction model is established through training of the historical first prediction result and the historical wear data of the equipment, and the second prediction result comprises wear condition prediction of the equipment and fault position prediction of the equipment. In this way, the prediction accuracy of equipment abrasion can be improved.

Description

technical field [0001] The invention relates to the field of mechanical control, in particular to a method and device for predicting equipment wear. Background technique [0002] The normal operation of rotating mechanical equipment is often affected by various types of failures. In severe cases, it may even cause machine crashes and fatal accidents, resulting in major economic losses. With the advancement of science and technology, rotating machinery is developing towards high speed, heavy load and automation. Therefore, there is an increasing demand for speed, capacity, efficiency, and reliability. Wear is one of the main factors causing rotating machinery failures. It not only directly threatens the safe and efficient operation of equipment, but also induces other types of failures, and it is costly to repair and replace severely worn parts. [0003] The oil of the equipment carries important information about the wear state of the equipment parts. Using this informatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/00G01N33/28G01N21/31G01N21/3577G06N3/08
CPCG01M13/00G01N21/31G01N21/3577G01N33/28G06N3/084
Inventor 李鲲鹏陈飞李祎璞
Owner 北京昊鹏智能技术有限公司
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