方位(导航)
断层(地质)
可靠性工程
工程类
特征(语言学)
状态监测
计算机科学
法律工程学
控制工程
人工智能
地质学
电气工程
地震学
语言学
哲学
作者
Tengfei Zhang,Shuyong Liu,Suai Zhang
出处
期刊:Journal of physics
[IOP Publishing]
日期:2021-03-01
卷期号:1820 (1): 012107-012107
被引量:7
标识
DOI:10.1088/1742-6596/1820/1/012107
摘要
Abstract As the most basic parts of rotating machinery, the health condition of rolling bearing affects the performance and safety of the whole mechanical equipment. Therefore, the accurate fault diagnosis of rolling bearings is the basic condition to ensure the good working condition of the equipment. This passage reviews the research on fault diagnosis methods at home and abroad. Based on two aspects of fault feature extraction and fault pattern recognition, the advantages and disadvantages of the main methods were analyzed respectively, and the research trend of bearing fault diagnosis was summarized and prospected.
科研通智能强力驱动
Strongly Powered by AbleSci AI