A Diagnosis Method of Cleanliness Defect in Rolling Element Bearing Manufacturing

Author:

Wang Wenbin1,Lei Yaguo1,Chen Zexun1,Yang Bin1,He Ping1,Li Xiwei1

Affiliation:

1. Xi’an Jiaotong University,Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi’an,China

Funder

National Science Fund for Distinguished Young Scholars

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Reference8 articles.

1. Applications of machine learning to machine fault diagnosis: A review and roadmap

2. Rolling bearings–Specifications for vibration(velocity) of deep groove ball bearings;National Standard of the People’s Republic of China GB/T 32325 - 2015,2015

3. Unsupervised learning-driven intelligent fault diagnosis algorithm for high-end bearing

4. An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring

5. Algorithms for hyper-parameter optimization;bergstra;Adv in Neural Info Proc Syst,2011

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