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Grinding machine grinding chatter fault on-line diagnosis method

A technology of grinding chatter and diagnosis method, which is applied in measuring devices, instruments, and measuring ultrasonic/sonic/infrasonic waves, etc., and can solve problems such as short time

Inactive Publication Date: 2016-10-26
ZHEJIANG SCI-TECH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the transition time of grinding chatter is very short, and there are many random factors in the grinding process

Method used

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  • Grinding machine grinding chatter fault on-line diagnosis method
  • Grinding machine grinding chatter fault on-line diagnosis method
  • Grinding machine grinding chatter fault on-line diagnosis method

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Experimental program
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Embodiment Construction

[0071] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and tables.

[0072] figure 1 For the overall implementation flow chart of the present invention, the fast and effective flutter identification method of the present invention comprises the following steps:

[0073] S1: First, use the vibration signal acquisition system to collect the vibration signal of the grinding machine. The vibration signal acquisition system includes a three-phase piezoelectric acceleration sensor, a dynamic signal test and analysis system and a computer. The three-phase piezoelectric acceleration sensor is arranged on the main shaft, motor and column of the grinding machine. By changing the grinding parameters of the grinding machine (grinding wheel speed, feed speed and grinding depth), a total of 80 sets of tests were carried out, and 8...

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Abstract

The invention relates to a grinding machine grinding chatter fault on-line diagnosis method. The method is characterized by processing a grinding machine chatter signal through BEMD; decomposing a constructed complex-value vibration signal into a series of complex-value intrinsic mode functions IMFs; screening real IMF components, correlation between which and an original signal is large, according to a judging criteria based on correlation coefficient; and then, carrying out summation on index quantities of peak-to-peak values, real-time variance, kurtosis, skewness and instantaneous energy and the like of the real IMF components respectively, and carrying out normalization processing to form feature vectors. Feature vectors of a part of experiment sample data are utilized to carry out classification training on a least square support vector machine (LSSVM) to obtain an identification model; then, the rest feature vectors are utilized to verify accuracy of the model, and a detection result is obtained; and finally, the verified LSSVM model is applied to monitoring of a grinding machine so as to monitor and judge the working state of the grinding machine in real time, and adjust operation of the grinding machine in time.

Description

【Technical field】 [0001] The invention relates to an on-line fault diagnosis method, in particular to an on-line fault diagnosis method for grinding flutter of a grinding machine, which is applied to a numerically controlled gantry guide rail grinder. 【Background technique】 [0002] Grinding is an indispensable processing procedure in the mechanical manufacturing process, and it is a relatively extensive and efficient processing method. In actual production, grinding chatter is one of the main manifestations of the failure of the main machine of the grinding machine. If this kind of vibration failure cannot be eliminated in time, it will lead to problems such as increased transmission noise, increased running resistance, decreased work efficiency, and increased tool loss. In severe cases, it may also damage the grinding head and machine tool spindle, making the processing impossible. Due to the complex principle of its generation, no effective monitoring and control method ...

Claims

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Application Information

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IPC IPC(8): G01H17/00
CPCG01H17/00
Inventor 沈建洋陈换过陈文华陈培易永余钱佳诚
Owner ZHEJIANG SCI-TECH UNIV
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