RESEARCH STATUS OF SMART ROLLING BEARING MONITORING METHODS

CHEN JinHai; LI Wei; ZHANG WenYuan; WANG Heng

doi:10.16579/j.issn.1001.9669.2021.03.001

您当前的位置：

首页 >

文章列表页 >

RESEARCH STATUS OF SMART ROLLING BEARING MONITORING METHODS

更新时间：2022-09-22

- RESEARCH STATUS OF SMART ROLLING BEARING MONITORING METHODS
- Journal of Mechanical Strength Vol. 43, Issue 3, Pages: 509-516(2021)
- 作者机构：
  
  1. 南通大学机械工程学院
  2. 南通振华重型装备制造有限公司南通分公司
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2021.03.001
  CLC：
扫描看全文
CHEN JinHai, LI Wei, ZHANG WenYuan, et al. RESEARCH STATUS OF SMART ROLLING BEARING MONITORING METHODS. [J]. 43(3):509-516(2021)
DOI：

CHEN JinHai, LI Wei, ZHANG WenYuan, et al. RESEARCH STATUS OF SMART ROLLING BEARING MONITORING METHODS. [J]. 43(3):509-516(2021) DOI： 10.16579/j.issn.1001.9669.2021.03.001.

摘要

智能轴承是轴承集传感器于一体的结构单元,具有自感知、自诊断、自适应、自调控等特点,是国内外高端轴承的发展方向之一。首先,阐述了智能轴承的概念及关键技术;其次,总结了外挂式智能轴承和嵌入式智能轴承的优缺点,认为嵌入式结构是智能轴承未来研究的主要方向。根据滚动轴承状态监测与诊断需要,重点介绍了目前智能轴承传感器的应用,如加速度传感器、温度传感器、润滑油质量检测传感器、力矩传感器及薄膜传感器;最后,总结并展望了智能滚动轴承监测技术的发展趋势。

Abstract

Smart bearing is a structural unit of bearing set sensor. It has the characteristics of self-sensing,self-diagnosis,self-adaptation and self-regulation. It is one of the development directions of high-end bearing development at home and abroad.Firstly,Expounded the concept and key technologies of smart bearings. Secondly,the advantages and disadvantages of external smart bearing and embedded intelligent bearing are summarized. It is considered that embedded structure is the main direction of future research of smart bearing. According to the requirements of rolling bearing condition monitoring and diagnosis,the current application of smart bearing sensors,such as acceleration sensors,temperature sensors,lubricating oil quality detection sensors,torque sensors,and thin film sensors,are introduced. Finally,the development trend of smart rolling bearing monitoring technology is summarized and forecasted.

关键词

智能轴承传感器滚动轴承状态监测

Keywords

Smart bearingSensorRolling bearingCondition monitoring

references

Views

827

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

WEAK FAULT FEATURE EXTRACTION OF ROLLING BEARING BASED ON PARAMETER OPTIMIZED MOMEDA AND CEEMDAN

CONSTRUCTION METHOD OF WAVELET BASE BASED ON GAUSSIAN FUNCTION AND ITS APPLICATION IN FAULT DIAGNOSIS OF ROLLING BEARING

LIFE PREDICTION OF ROLLING BEARING BASED ON BIDIRECTIONAL STACKING SIMPLE RECURRENT UNIT

ROLLING BEARING FAULT DIAGNOSIS BASED ON FUSION CNN AND PSO-SVM

ROLLING BEARING WEAK FAULT FEATURE EXTRACTION BASED ON MULTIPOINT OPTIMAL MINIMUM ENTROY DECONVOLUTION ADJUSTED AND ADAPTIVE STOCHASTIC RESONANCE WITH CUCKOO SEARCH

Related Author

No data

Related Institution

School of Photoelectric Information ＆ Computer Engineering,University of Shanghai for Science and Technology

College of Mechanical Engineering,North China University of Science and Technology

Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles,Beijing University of Civil Engineering Architecture

School of Machine-Electricity and Automobile Engineering,Beijing University of Civil Engineering Architecture

College of Engineering Science and Technology,Shanghai Ocean University

⁰