Passive wireless multi-parameter LC sensing system for in situ health monitoring of bearings

被引:0
|
作者
Wang, Lifeng [1 ]
Zhang, Shangyang [1 ]
Dong, Lei [1 ]
Huang, Qiang-An [1 ]
机构
[1] Southeast Univ, Key Lab MEMS, Minist Educ, Nanjing 210096, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
LC Sensor; Passive Wireless; Multi-parameter Sensing; Health Monitoring of Bearings; TEMPERATURE SENSOR; PRESSURE;
D O I
10.1016/j.sna.2024.115934
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The health condition of bearings is crucial for the safe operation of equipment. In situ, multi-parameter monitoring of the rotating components of bearings facilitates accurate assessment and diagnosis of bearing health. Based on the previous research on LC (Inductor-Capacitor) strain sensor for bearings, a passive wireless multiparameter LC sensor suitable for in situ monitoring of bearings is proposed. The LC sensor uses dual resonance frequencies together with one quality factor to simultaneously monitor three parameters of bearing. Theoretical derivation and simulation analysis indicate that, due to the adoption of a symmetrical circuit structure, the two resonant frequencies of the LC sensor are independent and do not interfere with each other. Furthermore, the asymmetric analysis shows that under significant parameter asymmetry, the two resonant frequencies still maintain excellent independence. According to the installation position of the bearing, the sensor coil and the sensor circuit are designed to be conformal to the bearing. The acceleration, strain and temperature response curves of the LC sensor are measured by installing it on a circular steel disc that simulates the environment of a bearing. Finally, the LC sensor is successfully demonstrated on a bearing test platform.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Multi-Parameter Monitoring System for Hydraulic Fluids
    Paul, Sumit
    Legner, Wolfgang
    Hackner, Angelika
    Baumbach, Volker
    Mueller, Gerhard
    TM-TECHNISCHES MESSEN, 2011, 78 (05) : 260 - 267
  • [22] Multi-parameter Monitoring System for Coal Mine based on Wireless Sensor Network Technology
    Shi Wei
    Li Li-li
    2009 INTERNATIONAL CONFERENCE ON INDUSTRIAL MECHATRONICS AND AUTOMATION, 2009, : 225 - 227
  • [23] Multi-parameter CBM pipeline safety monitoring system based on optical fiber sensing
    Bai, Qing
    Yan, Wei
    Wang, Dong
    Wang, Yu
    Liu, Xin
    Jin, Baoquan
    FIBER OPTIC SENSING AND OPTICAL COMMUNICATION, 2018, 10849
  • [24] All fiber-optic multi-parameter structure health monitoring system
    Hu, Chennan
    Yu, Zhihao
    Wang, Anbo
    OPTICS EXPRESS, 2016, 24 (18): : 20287 - 20296
  • [25] The Multi-Parameter Wireless Sensing System (MPwise): Its Description and Application to Earthquake Risk Mitigation
    Boxberger, Tobias
    Fleming, Kevin
    Pittore, Massimiliano
    Parolai, Stefano
    Pilz, Marco
    Mikulla, Stefan
    SENSORS, 2017, 17 (10)
  • [26] Multi-Parameter Intelligent Monitoring System for Cold Store
    Zhang, Kaisheng
    Zeng, Yuan
    PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 6, 2010, : 516 - 519
  • [27] Design of the Oil Well Multi-Parameter Monitoring System
    Wang Mei
    Liang Li
    Chen Kai
    Wang Ning
    MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 3652 - +
  • [28] Cardiovascular Multi-parameter Monitoring System during Surgery
    Liu, Jing
    Ye, Shuming
    Chen, Hang
    Wang, Xuan
    Fu, Xiuquan
    MATERIAL AND MANUFACTURING TECHNOLOGY II, PTS 1 AND 2, 2012, 341-342 : 646 - 650
  • [29] Design of Multi-parameter Monitoring System for Indoor Air Quality based on Wireless Sensor Network
    Chang, Bo
    Zhang, Xinrong
    Jiang Mingxin
    2018 7TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND COMPUTER SCIENCE (ICAMCS 2018), 2019, : 116 - 121
  • [30] Mutual Inductance Suppressed Stacked Inductors for Passive Wireless Multi-Parameter Sensors
    Dong, Lei
    Wang, Li-Feng
    Ren, Qing-Ying
    Huang, Qing-An
    2014 IEEE SENSORS, 2014,