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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
Plenary track
Draft Pending
王露 / 重庆大学
马乐 / 重庆大学
张可 / 重庆大学
曹珅莺 / 重庆大学
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.
Important Date

  • Conference Date

    Aug 06

    2021

    to

    Aug 08

    2021

  • Aug 08 2021

    Registration deadline

Sponsored By
Professional Committee on Fault Diagnosis and Safety for Technical Processes, Chinese Association of Automation (CAA)
Organized By
University of Electronic Science and Technology of China
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