Equipment vibration abnormity diagnosis method and system

A technology for abnormal diagnosis and equipment, applied in character and pattern recognition, instrument, pattern recognition in signals, etc., can solve the problems of measurement equipment damage, interference, economic loss, etc., to ensure robustness, improve accuracy and reliability reliability effect

Pending Publication Date: 2021-10-19
MEASUREMENT CENT OF GUANGDONG POWER GRID CO LTD
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Problems solved by technology

[0004] However, the existing equipment abnormality diagnosis methods are easily disturbed by the vibration of the surrounding environment, and it is difficult to detect equipment vibration abnormality information

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  • Equipment vibration abnormity diagnosis method and system
  • Equipment vibration abnormity diagnosis method and system

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[0035] In order to make the objectives, technical solutions and advantages of the present disclosure, the present disclosure will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are intended to explain the present disclosure and are not intended to limit the disclosure.

[0036] In the description of the present invention, a description of the reference terms "one embodiment", "some embodiments", "schematic embodiment", "example", "specific example", or "some examples", etc., meant to incorporate this embodiment. The specific features, structures, materials, or features described in the examples are included in at least one embodiment or example of the present invention. In the present specification, the meaning of the above term is not necessarily referred to as the same embodiments or examples. Moreover, the specific features, structures, materials or features de...

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Abstract

The invention discloses an equipment vibration abnormity diagnosis method and system, and the method comprises the steps: collecting a vibration signal of to-be-detected equipment in real time, and carrying out the time-frequency transformation of the vibration signal; extracting feature data of the vibration signal after time-frequency transformation by using a noise reduction auto-encoder; utilizing a self-attention mechanism model to calculate probability values of the to-be-detected equipment in different operation states corresponding to the feature data; and judging whether the vibration of the to-be-detected equipment is abnormal or not according to the probability value. According to the invention, noise coupled by the vibration signal is eliminated by using the noise reduction self-coding module, and the diagnosis result of the vibration signal is obtained by using the self-attention mechanism model, so that the accuracy and timeliness of the equipment abnormality diagnosis result can be effectively improved.

Description

technical field [0001] The invention relates to the field of equipment detection, in particular to a method and system for diagnosing abnormal equipment vibration. Background technique [0002] In the automated electric energy measurement and verification production line, various rotating parts are used. Gears and rolling bearings are common parts in rotating machinery and are key stress-bearing parts in the production line. Due to the complex and changeable operating conditions, gears and bearings have long Working under alternating loads, it is extremely prone to failure. [0003] Rotating transmission parts will generate vibration signals during operation, and mechanical faults will be directly reflected in the abnormal vibration signals. Therefore, the mechanical faults can be diagnosed and early-warned by analyzing the vibration signals. [0004] However, the existing equipment abnormality diagnosis methods are easily disturbed by the vibration of the surrounding envir...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06F17/14G01M13/028G01M13/021
CPCG06F17/142G06N3/04G01M13/021G01M13/028G06F2218/04G06F2218/08G06F2218/12G06F18/2414G06F18/2415
Inventor 彭龙冯浩洋危阜胜招景明李嘉杰张科
Owner MEASUREMENT CENT OF GUANGDONG POWER GRID CO LTD
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