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Fault diagnosis method of valve body based on BP neural network

A BP neural network and fault diagnosis technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as complicated steps, large interference noise, and inaccurate diagnosis, and achieve the effect of accurate diagnosis

Inactive Publication Date: 2018-12-18
WENZHOU UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the steps of using this method are too complicated, and the technical requirements for the diagnostic personnel are relatively high. Sometimes the diagnostic results are too noisy and the diagnosis is inaccurate.

Method used

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  • Fault diagnosis method of valve body based on BP neural network
  • Fault diagnosis method of valve body based on BP neural network
  • Fault diagnosis method of valve body based on BP neural network

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Embodiment Construction

[0023] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0024] BP neural network is a multi-layer forward neural network. In the BP network, the learning process of the algorithm is composed of two parts: forward signal propagation and reverse error propagation. The signal of forward propagation passes through the hidden layer to transfer the processed data to the output layer. If the output layer is different from the expected output Error, at this time, the error adjusts the weights layer by layer from the output layer through the hidden layer to the input layer through back propagation, and keeps reciprocating until the accuracy requirement is met.

[0025] BP algorithm derivation process:

[0026] (1) Signal forward propagation process

[0027] The BP algorithm changes the weight and bias along the direction where the error function decreases fastest, that is, the opposite direction of the gradient, which is...

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Abstract

The invention provides a fault diagnosis method of valve body based on BP neural network. The invention utilizes BP neural network to diagnose five fault modes of valve body, the BP neural network isconstructed, as feature parameters are extracted and classified that data collected in the field, then the network is trained with these data, and another set of data is verified. Under the conditionof reasonable neuron setting, BP neural network can diagnose the fault of valve body when the fault mode of valve body is known.

Description

technical field [0001] The invention relates to the field of valve body assembly quality, in particular to a valve body fault diagnosis method. Background technique [0002] As the level of modern science and technology in our country is getting higher and higher, the integration of electromechanical assembly products is also getting higher and higher, which brings great challenges to the reliability and safety of products. The development of quality assembly control technology meets this challenge. Indicated a new solution. With the development of computer technology, Internet, Internet of Things, artificial intelligence, etc., the development of mechanical quality assembly control technology is becoming more and more perfect. [0003] The concept of fault diagnosis includes two aspects: on the one hand, the operating status of the device is monitored; on the other hand, the fault location of the device is analyzed and processed after the system is shut down. After more t...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/084G06F18/24
Inventor 庞继红薛晓波冯辉彬钟永腾綦法群赵华王瑞庭郑烨波
Owner WENZHOU UNIVERSITY