Application of signal processing technology based on symbolic time series analysis to rotor broken fault detection
文献类型：会议论文
| 作者 | Wei Hu; Liang Wen; Gao L(高雷) ; Jinjiao Ye
|
| 出版日期 | 2010 |
| 会议名称 | 2010 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2010) |
| 会议日期 | December 6-8, 2010 |
| 会议地点 | Chengdu, China |
| 页码 | 4 pp. |
| 中文摘要 | An improved method of motor fault detection based on symbolic time series analysis is proposed, and the method adaptively partition off the region which has the most symbols in the symbolic series into two new regions. The method makes that the regions with more information are assigned more symbols relatively but those with sparse information are assigned fewer symbols, which enhances the sensitive degree of symbols to the signal. Laboratory experiments of fault diagnosis of broken rotor for inductive motor show that comparing with the uniform partition, the new method is more sensitive to the system and also owns a stronger robustness and a better reliability. |
| 收录类别 | EI |
| 产权排序 | 3 |
| 会议录 | 2010 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2010)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-7369-4 |
| 源URL | [http://ir.sia.cn/handle/173321/8332]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室 |
| 推荐引用方式 GB/T 7714 | Wei Hu,Liang Wen,Gao L,et al. Application of signal processing technology based on symbolic time series analysis to rotor broken fault detection[C]. 见:2010 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2010). Chengdu, China. December 6-8, 2010. |
入库方式： OAI收割
来源：沈阳自动化研究所
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