Electric spindle unbalance fault diagnosis method

Abstract

The invention discloses an electric spindle unbalance fault diagnosis method which comprises the following steps: acquiring vibration data of an electric spindle at different unbalance states, carrying out denoising pretreatment on the vibration data, converting one-dimensional vibration signals of the vibration data into two-dimensional snowflake images by using a symmetric coordinate method, andsimply and visibly judging a serious degree of an electric spindle unbalance state according to change rules of the two-dimensional snowflake images; extracting image characteristic parameters from snowflake images generated from samples with known faults by using a gray level co-occurrence matrix so as to obtain a characteristic parameter matrix, inputting as FCM clustering so as to obtain a clustering center, extracting image characteristic parameters from a sample to be tested, and calculating a nearness degree of the image characteristic parameters with the clustering center according toa Hamming nearness degree, so as to obtain fault types of the sample to be tested. By adopting the method, a function of electric spindle unbalance fault diagnosis is achieved, the difficulty of faultdiagnosis is reduced, and the intelligence degree and the accuracy rate of diagnosis are increased.

Description

technical field [0001] The invention relates to the field of electric spindle fault diagnosis, in particular to a method for diagnosing electric spindle imbalance faults, in particular to a method for diagnosing electric spindle imbalance faults by combining a symmetrical polar coordinate image method and a fuzzy C-means clustering algorithm. Background technique [0002] CNC machine tools are the industrial mother machines of the equipment manufacturing industry, and their design, manufacturing capabilities and key technical levels are one of the main indicators to measure a country's industrialization level. High speed, precision and intelligence have become the development trend of high-end CNC machine tools at present, and the electric spindle is one of the core components and key technologies for high-end CNC machine tools to realize high-speed and high-precision technology. As the product of the perfect combination of traditional mechanical spindles and electric motors...

AI Technical Summary

Problems solved by technology

However, when this method is used for fault identification, it is necessary to manually compare and analyze parameters in various situations, and the judgment of the final result is highly dependent on the human level. In the field of mechanical equipment, most of them are front-line workers, so it is difficult to quickly and accurately and with the introduction of intelligent manufacturing, the efficiency of traditional fault diagnosis methods is too low, and it is difficult to quickly draw more accurate conclusions

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