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Fault early warning method for production logistics conveying equipment

A technology of fault warning and equipment, applied in the field of intelligent system technology application

Active Publication Date: 2019-10-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In order to solve the technical problems raised by the above-mentioned background technology, the present invention aims to provide a method for early warning of failures of production logistics transportation equipment, which overcomes the defects of existing state diagnosis technologies and realizes early warning of failures of production logistics transportation equipment

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  • Fault early warning method for production logistics conveying equipment
  • Fault early warning method for production logistics conveying equipment
  • Fault early warning method for production logistics conveying equipment

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Embodiment Construction

[0062] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0063] In this embodiment, the equipment used in the production of automobile assembly lines is taken as an example to illustrate the method for early warning of failures of conveying equipment for automobile assembly in the present invention, such as figure 1 As shown, the steps are as follows.

[0064] Step 1. Data collection: Use sensors to collect state data of the main parts of the equipment used in production, including the vibration acceleration signals of the two bearings and the reducer, the displacement of the belt, etc.;

[0065] Step 2, extracting feature parameters: different feature extraction techniques are used for feature extraction for different data.

[0066] Step 3, data dimension reduction: take the average value of the devibration effective value and the peak value, and then synthesize a feature vector, so that the di...

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Abstract

The invention discloses a fault early warning method for production logistics conveying equipment. The method comprises steps of carrying out feature extraction and dimension reduction processing on historical signal data obtained by the sensor; after the feature vector is obtained, on one hand, dividing the normal state data into multiple working conditions by using a growth-type neural gas (GNG)algorithm to obtain a plurality of clustering centers, and calculating the Euclidean distance between the feature vector obtained by the current operation data and the clustering centers to obtain asimilarity trend; on the other hand, constructing a historical memory matrix, and optimizing the LS-SVM regression on the model parameters by an improved particle swarm algorithm; calculating the residual value of the current state; finally, combining the residual value and the similarity trend to obtain a risk coefficient, evaluating the equipment state, and giving an early warning for the equipment fault. According to the method, the fault real-time early warning technology of the production logistics conveying equipment is achieved, reference is provided for timely maintenance of the equipment, and economic losses caused by shutdown due to equipment faults are avoided.

Description

technical field [0001] The invention belongs to the application field of intelligent system technology, and in particular relates to a method for early warning of failures of production logistics transportation equipment. Background technique [0002] At present, intelligent equipment is more and more widely used in production workshops. Intelligent equipment has many parts and complex internal structures. It is no longer feasible to rely on traditional manual experience to judge equipment operating status and make fault warnings. At the same time, the production data and equipment operation data collected by smart sensors are becoming more and more accurate, but at present most of the data are only stored in the database, but not used. The automobile assembly workshop has a fast production cycle and a large output. If the automobile assembly conveying equipment fails and stops, it will cause huge economic losses. [0003] For this reason, it is very urgent to realize an au...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08G06N3/00
CPCG06Q10/04G06Q10/0635G06Q10/083G06N3/006G06Q10/08G05B23/024G06N20/10G06N3/088G06N5/043G06N3/047G05B2223/02G05B23/0245G06N3/08
Inventor 钱晓明楼佩煌王鑫豪
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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