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Retarder multi-node fault classification method of RBF neural network

A neural network and fault classification technology, which is applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of manual recording that cannot be timely, poor dynamic detection, and inaccurate positioning

Active Publication Date: 2020-12-15
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are mainly three detection methods for retarders installed on rails: manual inspection, indoor retarder comprehensive inspection equipment and retarder detection vehicles. Excavate useful information from it to form the law; the comprehensive function of the retarder detection equipment occupies a large space, and is generally installed in the laboratory. During the test, the retarder needs to be disassembled and reinstalled, and its dynamic detection performance is poor; the working condition of the mobile retarder The detection vehicle relies on manpower to push on the rails, and the position is detected by infrared and the reaction force test is performed. The detection speed of the equipment is slow, it consumes a lot of human resources, and the positioning is not accurate.

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  • Retarder multi-node fault classification method of RBF neural network
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Embodiment Construction

[0035] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only The embodiments are a part of the present invention, not all embodiments, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts disclosed in the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0036] Further illustrate the present invention below in conjunction with accompanying drawi...

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Abstract

The invention discloses a retarder multi-node fault classification method of an RBF neural network. The method comprises the steps: 1, taking the peak-to-peak value, kurtosis, frequency domain index,fluctuation entropy and temperature mean value of a retarder motion curve as elements to construct an RBF neural network input feature vector; 2, constructing three working states of the retarder intoRBF neural network output quantities; 3, constructing an RBF neural network structure, training the neural network according to the training data set, and constructing a retarder working state classifier; and 4, constructing a decision fusion method based on a Bayesian approximation method evidence theory, and further evaluating the three-dimensional feature vector output by the RBF neural network to complete the diagnosis of the working state of the retarder. According to the method, multi-node heterogeneous data are fused based on the RBF neural network, diagnosis of the working state of the retarder is completed, and the method has wide application prospect.

Description

technical field [0001] The invention belongs to the field of fault diagnosis, and specifically relates to a multi-node fault classification method of a deceleration top of an RBF neural network. The method learns an input matrix of a deceleration top through an RBF neural network, and realizes fault classification of all nodes through a classifier obtained through training. . Background technique [0002] Railway vehicle deceleration jack (deceleration jack) is a kind of speed regulating equipment widely used in marshalling yards at home and abroad. The popularization and use has completely changed the operation mode of the marshalling yard, and basically eliminated the "turning brake" and "iron shoe" braking, which not only reduces personal casualties, but also reduces the labor intensity of the staff. Multiple retarder devices constitute the retarder speed regulation system, and the failure of a single device will reduce the safety connection rate. In field operations, i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/23213G06F18/24133
Inventor 要义勇朱继东赵丽萍高射康涛
Owner XI AN JIAOTONG UNIV
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