文章詳目資料
Journal of Computers EIMEDLINEScopus
加入收藏
下載文章
| 篇名 | Virtual Prototyping Modeling and Fault Diagnosis Technology for Mechanical and Electrical Equipment |
|---|---|
| 卷期 | 34:3 |
| 作者 | Xi-Lin Li 、 Jie Yu 、 Shi-Ming Zhao 、 Ya-Min Wang 、 Hui-Hua Zhang |
| 頁次 | 335-341 |
| 關鍵字 | virtual prototype 、 motor fault 、 BP neural network 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 202306 |
| DOI | 10.53106/199115992023063403025 |
中文摘要
英文摘要
In order to study common faults in motors and motor transmission systems, this article uses a 5kW motor system as an experimental platform to establish a virtual prototype model. The prototype model includes the following five parts: motor unit, 6-degree of freedom loading mechanism, transmission gearbox, loading spindle, and AC excitation converter. Then, the BP neural network is used to identify typical faults in the virtual prototype. The final recognition time for vibration changes, temperature changes, and current disturbances does not exceed 45 seconds, with an average accuracy rate of over 99%. Overall, the algorithm can accurately diagnose typical faults in a relatively short time.
本卷期文章目次
- A Recognition Method of Ceramic Microcosmic Images Based on SURF and Blockchain / You-Dong Wang、Xing Xu、Xi-En Cheng
- Ensemble Learning Network for Handwritten Digit Recognition Based on Fusion Optimized CNN / Li Cui、Ting-Xuan Chen、Ying-Qing Xia、Xia Cao、Ling Wu
- Fault Diagnosis of Train Body Sign Abnormal Pattern with Deep Learning Based Target Detection / Yuanjiang Hu、Aisen Yang、Zonghong Zhang、Na Qin
- EEG Emotion Recognition Method Based on 3D Feature Map and Improved DenseNet / Jing-Ran Su、Qiu-Sheng Li、Qian-Li Zhang、Jun-Yong Hu
- A Dynamic Task Assignment Optimization Method for Multi-AGV System Based on Genetic Algorithm / Shuan-Jun Song、Long-Guang Peng、Jie Zhang、Zhen Liu