Force-magnetism-sound three-field data fusion industrial equipment damage identification method

A technology for industrial equipment and damage identification, which is applied in the direction of using electric/magnetic devices to transmit sensing components, convert sensor outputs, and measure devices. The effect of increasing the effect

Pending Publication Date: 2020-11-24
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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  • Claims
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Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a method for identifying damage to industrial equipment by fusion of force, magnetoacoustic and three-field data, which solves the problems of low accuracy and limitations of single-field data damage identification

Method used

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  • Force-magnetism-sound three-field data fusion industrial equipment damage identification method
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  • Force-magnetism-sound three-field data fusion industrial equipment damage identification method

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Embodiment

[0110] A crane refers to a multi-action hoisting machine that can vertically lift and horizontally transport heavy objects within a certain range. It plays a very important role in infrastructure construction and heavy object handling. According to its structure and performance, it can generally be divided into four categories: light and small lifting equipment, bridge type lifting machinery, jib type crane, and cable type crane. At present, the bridge-type hoisting machinery is mostly used, and the effectiveness of the method of the present invention will be described below in conjunction with a bridge-type crane. The basic component of the bridge crane is the bridge frame, which consists of main girders, end girders, walking platforms and other parts. The main girder span is above the span, and has structural forms such as box shape, analysis frame, web plate, and round tube. The two ends of the main beam are connected with end beams, and there are walking platforms and saf...

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Abstract

The invention relates to a force-magnetism-sound three-field data fusion industrial equipment damage identification method. The method comprises the steps of collecting force, magnetism and sound three-field data of industrial equipment under normal working conditions, performing normalization processing on the collected force, magnetism and sound three-field data, performing singular value decomposition on the processed force, magnetism and sound three-field data, calculating a corresponding singular value matrix and a load vector, and performing calculation by utilizing F-distribution to obtain a statistical magnitude threshold value of the industrial equipment; according to the singular value matrix and the load vector, respectively calculating T2 statistics of the force-magnetic-acoustic three-field sample observation value to be detected, and converting the T2 statistics into a condition probability of damage existence; and fusing the conditional probabilities of damage existenceby utilizing a Bayesian reasoning method to obtain an industrial equipment damage identification result. According to the invention, multi-field data fusion can be realized, the damage identificationerror of single-field data is reduced, and the damage identification effect is improved.

Description

technical field [0001] The invention relates to the field of damage identification of industrial equipment, in particular to a method for identifying damage of industrial equipment by fusion of force, magnetoacoustic and three-field data. Background technique [0002] The industrial process is the foundation of national economic development and scientific and technological progress. The safe and reliable operation of industrial equipment can reduce economic losses and ensure the safety of operators. Therefore, damage recognition of industrial equipment is widely studied. Currently, damage identification of industrial equipment is mainly based on one type of data, for example, damage identification of cranes is mainly based on data from force fields. However, damage recognition based on data collected by a single type of sensor may result in a lower damage recognition rate. If industrial equipment is damaged, it will inevitably reduce the life of the equipment, and may also...

Claims

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Application Information

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IPC IPC(8): G01D5/54G01D5/56G01D5/62
CPCG01D5/54G01D5/56G01D5/62
Inventor 潘怡君郑泽宇
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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