Rail transit device fault diagnosis method

A technology of equipment failure and transportation equipment, applied in the direction of instruments, biological neural network models, data processing applications, etc., can solve the problems of small number of samples, accurate identification, timely detection of faults and no beneficial effects of efficient maintenance, etc., to achieve Effects of improving safety and reducing corporate costs

Inactive Publication Date: 2018-07-20
CRRC IND INST CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] However, the current fault diagnosis methods or prediction methods cannot effectively identify or accurately identify unknown or unoccurred faults, and the number of samples used is small, so that intelligent diagnosis or prediction cannot be truly achieved. Discovery and efficient maintenance do not play a beneficial role

Method used

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  • Rail transit device fault diagnosis method
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  • Rail transit device fault diagnosis method

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Embodiment Construction

[0023] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in 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 embodiment of the present invention. Some, but not all, embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] At present, most of the fault diagnosis models based on neural network adopt the structure of multi-input and output, construct the diagnosis of multiple fault models through a complex neural network, train the network by means of nearest neighbor clustering, and realize the Direct mapping of inputs and outputs for better fault determination.

[0025] Among the...

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Abstract

The invention provides a rail transit device fault diagnosis method. The method comprises the steps that based on the operational information of a target rail transit device, a neural network fault diagnosis model acquired based on the training of the typical fault input and output signals of the target rail transit device is used to acquire a fault diagnosis result or a predicted result. According to the invention, the method is based a multi-sensor information fusion technology; an artificial intelligence neural network is used to establish the intelligent fault prediction and diagnosis model to provide a basis for overhaul and maintenance of the transit device; the cost of an enterprise is reduced; and on-demand overhaul and maintenance are realized.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and more specifically, to a fault diagnosis method for rail transit equipment. Background technique [0002] The rapid development of the economy has brought about the renewal of a large number of equipment and the increase of system complexity in various industries such as electric power, petrochemical, aerospace, and transportation. In order to ensure safety and avoid unnecessary economic losses, it is necessary to manage and maintain these devices. [0003] Using the equipment intelligent fault diagnosis technology, it is possible to effectively perform on-demand maintenance of equipment and dynamically predict the service life of equipment; it can quickly diagnose the type of equipment failure that has occurred, achieve rapid maintenance, reduce downtime, and improve production efficiency. And it can effectively reduce the cost of enterprises while ensuring safety. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/00G06Q50/30G06N3/04
CPCG06Q10/04G06Q10/20G06Q50/30G06N3/045
Inventor 温博阁田寅唐海川龚明咸晓雨王经纬
Owner CRRC IND INST CO LTD
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