Investigating the Construction, Training, and Verification Methods of k-Means Clustering Fault Recognition Model for Rotating Machinery

Investigating the Construction, Training, and Verification Methods of k-Means Clustering Fault Recognition Model for Rotating Machinery

Considerable studies have been carried out in recent years regarding fault diagnosis and prediction for the rotating machinery in industrial plants. However, few works present the use of clustering approaches applied to time series to diagnose machine faults. With the increasing practical requiremen...

Full description

Bibliographic Details
Main Authors: Qingfeng Wang, Jiahe Liu, Bingkun Wei, Wenwu Chen, Shujian Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
K-means clustering
fault feature extraction
fault eigenvectors screening
fault cluster centroid
fault identification model
Online Access:https://ieeexplore.ieee.org/document/9210623/

Internet

https://ieeexplore.ieee.org/document/9210623/

Similar Items