Intelligent fault diagnosis method suitable for pipe expanding equipment

Abstract

The invention belongs to the related technical field of intelligent fault diagnosis of pipe expanding equipment, and discloses an intelligent fault diagnosis method suitable for the pipe expanding equipment, which comprises the following steps: (1) collecting pressure data of the pipe expanding equipment in real time; (2) preprocessing the original pressure data, and dividing the processed data into a training set and a test set; (3) constructing a deep neural network fault diagnosis model based on a stack type denoising sparse automatic encoder improved by a Leacky linear rectification function, and adopting a Softmax function as an activation function of a BP classifier of the deep neural network fault diagnosis model; and training the deep neural network fault diagnosis model by using the training set, inputting the test set into the deep neural network fault diagnosis model, and carrying out diagnosis classification on the test set by using the deep neural network fault diagnosis model so as to predict the fault type, thereby completing the fault diagnosis of the pipe expanding equipment. The production efficiency is improved, and the cost is reduced.

Description

technical field [0001] The invention belongs to the relevant technical field of intelligent fault diagnosis of tube expansion equipment, and more particularly relates to an intelligent fault diagnosis method suitable for tube expansion equipment. Background technique [0002] As we all know, the core of air-conditioning and refrigeration technology includes refrigeration compressors and heat exchangers (condensers and evaporators), and the expansion tube process is a key process in the production of air-conditioning heat exchangers. It has large batches and high requirements for quality consistency. , once the equipment is abnormal, if it cannot be found, it will often cause abnormal product quality in batches, or even product scrapping; and in the actual production process of the tube expansion process for the air-conditioning heat exchanger, there are mainly the following problems: [0003] (1) The quality assurance method of sampling inspection is not perfect. At present...

AI Technical Summary

Problems solved by technology

At present, the quality of products is mainly guaranteed through conventional pre-sampling methods, but the sampling method cannot guarantee the quality of all products, and post-processing compensation will bring about a large waste of manpower

[0004] (2) Manual monitoring is not timely

Due to accidental and sudden equipment failures, once equipment problems occur, if workers cannot actively observe product abnormalities, batch quality abnormalities will occur, and even batch waste will occur.

[0005] (3) Expansion equipment is not intelligent

As far as the expansion tube related equipment itself is concerned, the existing equipment cannot realize automatic and intelligent real-time monitoring of key molds and spare parts, so that problems such as equipment failure and product quality cannot be dealt with in a timely manner

[0006] However, since most tube expanders lack intelligent condition monitoring and health management modules, it is necessary to manually perform equipment maintenance and product sampling inspections in order to ensure product performance, which causes problems in the production process of tube expansion Faults cannot be dealt with in a timely manner, which may easily cause serious quality consistency problems

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