Numerical solution of simultaneous equations based geometric error compensation for CNC machine tools with workpiece model reconstruction

Fu, Guoqiang; Fu, Jianzhong; Shen, Hongyao; Sha, Jianfeng; Xu, Yanliang

doi:10.1007/s00170-015-8175-y

Cited by 12 publications

(1 citation statement)

References 29 publications

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“…NC machine tool is the significant production basis or fundamental unit of other equipment in manufacturing industry; thus the reliability of NC machine tool will seriously influence or restrict the development of manufacturing industry [1][2][3]. Ball screw, the key component of NC machine tool, is directly related to the reliability of NC machine tool.…”

Section: Introductionmentioning

confidence: 99%

Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine

Zhang

Jiang

2017

Shock and Vibration

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To predict the remaining life of ball screw, a screw remaining life prediction method based on quantum genetic algorithm (QGA) and support vector machine (SVM) is proposed. A screw accelerated test bench is introduced. Accelerometers are installed to monitor the performance degradation of ball screw. Combined with wavelet packet decomposition and isometric mapping (Isomap), the sensitive feature vectors are obtained and stored in database. Meanwhile, the sensitive feature vectors are randomly chosen from the database and constitute training samples and testing samples. Then the optimal kernel function parameter and penalty factor of SVM are searched with the method of QGA. Finally, the training samples are used to train optimized SVM while testing samples are adopted to test the prediction accuracy of the trained SVM so the screw remaining life prediction model can be got. The experiment results show that the screw remaining life prediction model could effectively predict screw remaining life.

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Section: Introductionmentioning

confidence: 99%