摘要详情
4 / 2021-07-14 20:11:42
A Novel Fault Diagnosis Method Via Data Dynamic Property Inspired Density-Based-Clustering
density-based clustering,dynamic property,fault diagnosis
全文待审
State recognition is the crucial stage in the fault diagnosis, where clustering technique usually has abilities to provide effective support, especially under the condition of lacking prior knowledge. In this paper, a dynamic property of data points is proposed from the perspective of movement. Based on this favorable property we develop an effective density based algorithm by defifining a cluster with new connection rule. The property sustains our algorithm on extracting clusters with widely variation in density from datasets, and gain more procedural conciseness in our algorithm by eliding the need of density threshold. The capability of our method is validated by experimental evaluation on both synthetic benchmark datasets and real-world rolling bearing vibration data, which shows certain advantages of our method over conventional and recent algorithms.
重要日期
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会议日期
08月06日
2021
至08月08日
2021
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08月08日 2021
注册截止日期
主办单位
中国自动化学会技术过程的故障诊断与安全性专业委员会
承办单位
电子科技大学
联系方式
历届会议
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2023年09月22日 中国 宜宾市
第十三届全国技术过程故障诊断与安全性学术会议 -
2023年09月22日 中国 Yibin
2023全国技术过程故障诊断与安全性学术会议 -
2019年07月05日 中国
2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes -
2017年08月18日 中国 青岛市
第十届全国技术过程故障诊断与安全性学术会议 -
2009年08月01日 中国 武汉市
第六届全国技术过程故障诊断与安全性学术会议
