Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine
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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2017/9581379 |
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| _version_ | 1832567568080044032 |
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| author | Xiaochen Zhang Dongxiang Jiang |
| author_facet | Xiaochen Zhang Dongxiang Jiang |
| author_sort | Xiaochen Zhang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-20a5b99226014c58b693885651885215 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-20a5b99226014c58b6938856518852152025-02-03T01:01:12ZengWileyShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/95813799581379Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector MachineXiaochen Zhang0Dongxiang Jiang1State Key Lab of Power Systems, Department of Thermal Engineering, Tsinghua University, Beijing 100084, ChinaState Key Lab of Power Systems, Department of Thermal Engineering, Tsinghua University, Beijing 100084, ChinaTo 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.http://dx.doi.org/10.1155/2017/9581379 |
| spellingShingle | Xiaochen Zhang Dongxiang Jiang Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine Shock and Vibration |
| title | Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine |
| title_full | Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine |
| title_fullStr | Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine |
| title_full_unstemmed | Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine |
| title_short | Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine |
| title_sort | screw remaining life prediction based on quantum genetic algorithm and support vector machine |
| url | http://dx.doi.org/10.1155/2017/9581379 |
| work_keys_str_mv | AT xiaochenzhang screwremaininglifepredictionbasedonquantumgeneticalgorithmandsupportvectormachine AT dongxiangjiang screwremaininglifepredictionbasedonquantumgeneticalgorithmandsupportvectormachine |