Railway vehicle bearings risk monitoring based on normal region estimation for no-fault data situations
Author:
Affiliation:
1. School of Mechanical Engineering, Beijing Institute of Graphic Communication, Beijing, China
2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
Funder
Open Research Fund Program of the State Key Laboratory of Rail Traffic Control and Safety
Beijing Postdoctoral Research Foundation
Publisher
Informa UK Limited
Subject
Safety Research,Transportation
Link
https://www.tandfonline.com/doi/pdf/10.1080/19439962.2019.1616020
Reference42 articles.
1. Enhancement of rolling bearing fault diagnosis based on improvement of empirical mode decomposition denoising method
2. Advanced Analysis of Motor Currents for the Diagnosis of the Rotor Condition in Electric Motors Operating in Mining Facilities
3. The quickhull algorithm for convex hulls
4. Modified convex hull pricing for power markets with price-sensitive load
5. EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings
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