Fault Diagnosis of Rotating Machinery With Limited Expert Interaction: A Multicriteria Active Learning Approach Based on Broad Learning System-Reference-Cited by-同舟云学术

Fault Diagnosis of Rotating Machinery With Limited Expert Interaction: A Multicriteria Active Learning Approach Based on Broad Learning System

Author:

Liu Zeyi¹^ORCID,Zhang Jingfei¹^ORCID,He Xiao²^ORCID,Zhang Qinghua³^ORCID,Sun Guoxi³,Zhou Donghua⁴^ORCID

Affiliation:

1. Department of Automation, Tsinghua University, Beijing, China

2. Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

3. Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming, China

4. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

Reference27 articles.

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