Subsequence Time Series Clustering-Based Unsupervised Approach for Anomaly Detection of Axial Piston Pumps
Author:
Affiliation:
1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
Funder
National Key Research and Development Program of China
Ministry of Education-China Mobile Research Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10091205.pdf?arnumber=10091205
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