Corrosion pitting damage detection of rolling bearings using data mining techniques
文献类型：期刊论文
| 作者 | Zhang YL(章永来) ; Zhou XF(周晓锋); Shi HB(史海波); Zheng ZY(郑泽宇); Li S(李帅)
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| 刊名 | International Journal of Modelling, Identification and Control
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| 出版日期 | 2015 |
| 卷号 | 24期号:3页码:235-243 |
| 关键词 | machine learning, rolling bearings corrosion pitting support vector data description SVDD, principal component analysis PCA |
| ISSN号 | 1746-6172 |
| 产权排序 | 1 |
| 中文摘要 | Detection of rolling bearings is very crucial for the reliable operation in the process of condition monitoring of rotating machinery. In this paper, a novel monitoring method using support vector data description (SVDD) with principal component analysis (PCA) for fault diagnosis of corrosion pitting on the raceways and balls in rolling bearings is proposed to improve diagnostic accuracy based on feature extraction dataset of vibration signals. The feasibility and validity of the proposed monitoring scheme are investigated through case study. Experiment results show that the proposed method can achieve 92.85% accuracy, 93.11% sensitivity, and 90.47% specificity based on an unbalanced dataset. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/17292]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 推荐引用方式 GB/T 7714 | Zhang YL,Zhou XF,Shi HB,et al. Corrosion pitting damage detection of rolling bearings using data mining techniques[J]. International Journal of Modelling, Identification and Control,2015,24(3):235-243. |
| APA | Zhang YL,Zhou XF,Shi HB,Zheng ZY,&Li S.(2015).Corrosion pitting damage detection of rolling bearings using data mining techniques.International Journal of Modelling, Identification and Control,24(3),235-243. |
| MLA | Zhang YL,et al."Corrosion pitting damage detection of rolling bearings using data mining techniques".International Journal of Modelling, Identification and Control 24.3(2015):235-243. |
入库方式： OAI收割
来源：沈阳自动化研究所
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