Bearing fault detection and fault size estimation using fiber-optic sensors

被引:53
|
作者
Alian, Hasib [1 ]
Konforty, Shlomi [2 ]
Ben-Simon, Uri [3 ]
Klein, Renata [4 ]
Tur, Moshe [5 ]
Bortman, Jacob [2 ]
机构
[1] IAF, Tel Aviv, Israel
[2] Ben Gurion Univ Negev, Dept Mech Engn, PHM Lab, POB 653, IL-84105 Beer Sheva, Israel
[3] Israel Aerosp Ind, Lod, Israel
[4] RK Diagnost, POB 101, Gilon, Dn Misgav, Israel
[5] Tel Aviv Univ, Sch Elect Engn, IL-69978 Ramat Aviv, Israel
关键词
Spall size; Fault diagnosis; Rolling element bearing; Fiber; Bragg grating; PROGNOSTICS;
D O I
10.1016/j.ymssp.2018.10.035
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Health monitoring of rotating machinery is commonly based on vibration signals. Instead, this pioneering research provides bearing diagnostics using strain measurements, obtained from Fiber Bragg Grating (FBG) fiber-optic sensors. Besides detection of the damage via spectral data, these optical sensors also allow the estimation of damage severity through the direct and accurate measurement of the damage size of small spalls in the bearing races, an essential capability for the prognosis of remaining useful life. FBG sensors are small and can be easily placed in the immediate proximity of the bearing or even embedded inside it, thereby ensuring much enhanced signal-to-noise ratio through the minimizing transmission path effects from remote disturbances. These ball-bearing related diagnostic capabilities of FBG sensors are demonstrated via seeded tests, as well as by means of extended monitoring of bearings during fatigue endurance tests. Sensitivity to FBG sensor location is studied, showing acceptable values at all housing measuring points around the bearing. Fiber-optic sensors appear to have promising diagnostic potential for spall-like faults in both the outer and inner races of ball bearings with a very good discrimination power. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:392 / 407
页数:16
相关论文
共 50 条
  • [1] The detection of ultrasound using fiber-optic sensors
    Culshaw, Brian
    Thursby, Graham
    Betz, Daniel
    Sorazu, Borja
    IEEE SENSORS JOURNAL, 2008, 8 (7-8) : 1360 - 1367
  • [2] Bearing inner race fault detection and size estimation using the variable reluctance sensor
    Ni, Zexing
    Wang, Xiufeng
    Hong, Yincong
    Tang, Guoyun
    JOURNAL OF SOUND AND VIBRATION, 2022, 530
  • [3] Fault size estimation of rolling bearing based on weak magnetic detection
    Zhan, Liwei
    Li, ZhengHui
    Chi, Jie
    Zhuo, Shi
    Li, Chengwei
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 192
  • [4] Fault Diagnosis for Space-Borne Fiber-Optic Gyroscopes Using a Hybrid Method
    Yuan, Zhengguo
    Song, Ningfang
    Pan, Xiong
    IEEE ACCESS, 2020, 8 : 194147 - 194157
  • [5] Damage detection algorithm based on using surface mounted fiber-optic sensors on Bragg gratings
    Matveenko, Valerii
    Kosheleva, Natalia
    Serovaev, Grigorii
    25TH INTERNATIONAL CONFERENCE ON FRACTURE AND STRUCTURAL INTEGRITY, 2019, 18 : 12 - 19
  • [6] A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection
    Zhang, Bin
    Sconyers, Chris
    Byington, Carl
    Patrick, Romano
    Orchard, Marcos E.
    Vachtsevanos, George
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (05) : 2011 - 2018
  • [7] Experimental analysis of fiber-optic displacement sensors
    Li, XJ
    Zhang, ZH
    Yu, YJ
    Lin, QS
    INTERNATIONAL CONFERENCE ON SENSOR TECHNOLOGY (ISTC 2001), PROCEEDINGS, 2001, 4414 : 334 - 337
  • [8] Roller bearing acoustic signature extraction by wavelet packet transform, applications in fault detection and size estimation
    Hemmati, Farzad
    Orfali, Wasim
    Gadala, Mohamed S.
    APPLIED ACOUSTICS, 2016, 104 : 101 - 118
  • [9] Rolling element bearing fault detection using PPCA and spectral kurtosis
    Xiang, Jiawei
    Zhong, Yongteng
    Gao, Haifeng
    MEASUREMENT, 2015, 75 : 180 - 191
  • [10] Fault detection and protection of induction motors using sensors
    Bayindir, Ramazan
    Sefa, Ibrahim
    Colak, Ilhami
    Bektas, Askin
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2008, 23 (03) : 734 - 741