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Intelligent spindle state evaluation method and system based on multi-source information fusion

A technology of multi-source information fusion and state assessment, which is applied in the field of intelligent spindle state assessment based on multi-source information fusion, can solve the problems of serious time-consuming, easy loss of a large amount of detailed information, and low data processing effect in the fusion method of decision-making level. The effect of improving economic efficiency

Pending Publication Date: 2021-12-17
XIAN UNIV OF TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art that the pixel layer fusion method has a very low data processing effect and is time-consuming, and the decision-making layer fusion method is easy to lose a large amount of detailed information, and provides an intelligent multi-source information fusion. Spindle state evaluation method and system

Method used

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  • Intelligent spindle state evaluation method and system based on multi-source information fusion
  • Intelligent spindle state evaluation method and system based on multi-source information fusion
  • Intelligent spindle state evaluation method and system based on multi-source information fusion

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Effect test

Embodiment 1

[0055] A method for evaluating the state of an intelligent spindle based on multi-source information fusion, comprising the following steps:

[0056] Collect the original signal of intelligent spindle movement;

[0057] Perform time domain, frequency domain, and time-frequency domain related feature analysis on the collected original signal to obtain feature information;

[0058] Fusion processing of feature information;

[0059] A probabilistic neural network diagnosis model is established, and the classification is carried out based on the feature information after fusion processing, and the diagnosis result of the state of the intelligent spindle is obtained.

Embodiment 2

[0061] Such as figure 1 As shown, a smart spindle status monitoring signal acquisition hardware platform based on multi-source information fusion includes smart spindle, DC power supply, sensor, signal conditioning and signal storage. Among them, the DC power supply voltage is 24V; the sensor part includes three acceleration sensors for measuring the vibration state and one laser displacement sensor for measuring the rotor displacement; the signal conditioning part includes a high-pass filter and an amplifier for reducing redundancy and noise; storing Part of the processed signal is stored in the data acquisition card to prepare for feature extraction.

[0062] Such as figure 2 As shown, the flow chart of intelligent spindle status assessment based on multi-source information fusion includes the following steps:

[0063] A. Raw signal acquisition and preprocessing;

[0064] B. Original signal feature extraction;

[0065] C. Feature layer information fusion based on improv...

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Abstract

The invention discloses an intelligent spindle state evaluation method and system based on multi-source information fusion, belongs to the technical field of intelligent manufacturing, and specifically comprises original signal acquisition and preprocessing, original signal feature extraction, multi-source information fusion processing and a probabilistic neural network diagnosis model. Original signal feature extraction mainly comprises time domain, frequency domain and time-frequency domain related processing on collected data, and extracted information features reflect the service state of a spindle more completely; the feature information is fused; and a probabilistic neural network diagnosis model is created, the fused fault feature information is classified to acquire a diagnosis result, and finally state evaluation is made on the diagnosis result. According to the intelligent spindle state evaluation method, online evaluation of the intelligent spindle state is achieved, an important guiding effect is achieved on evaluation of the service state of the intelligent spindle and economic benefits are improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent manufacturing, and relates to an intelligent spindle state evaluation method and system based on multi-source information fusion. Background technique [0002] Intelligent manufacturing technology plays a leading role in the contemporary global manufacturing industry. In recent years, with the continuous development of information technology, especially cutting-edge technologies such as artificial intelligence, big data, Internet of Things, and cloud computing have been widely used in engineering practice, further promoting the transformation of the manufacturing industry with the goal of intelligent manufacturing . The contemporary manufacturing industry is constantly developing in the direction of informatization, networking, intelligence, service and green. Among them, the development of flexibility, integration and intelligence of CNC machine tools is particularly important. As the core...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/047G06F2218/10G06F2218/04G06F2218/12G06F18/2321G06F18/2415G06F18/251G06F18/253
Inventor 张燕飞李赟豪孔令飞元振毅王丽洁
Owner XIAN UNIV OF TECH
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