Gear transmission fault diagnosis based on the bispectrum analysis of induction motor current signatures

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Volumn 48, Issue 21, 2012, Pages 84-90

  Chen, Zhi ^a   Wang, Tie ^a   Gu, Fengshou ^a,b   Haram, Mansaf ^b   Ball, Andrew ^b  

^a TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF HUDDERSFIELD   (United Kingdom)

Author keywords

Fault diagnosis; Gear transmission; Modulated signal biopspectrum; Motor current signature

Indexed keywords

ANALYTIC ANALYSIS; BISPECTRAL PEAK; BISPECTRUM; BISPECTRUM ANALYSIS; DOWNSTREAM EQUIPMENT; ELECTRICAL CURRENT; ELECTRICAL MACHINE; EXPERIMENTAL STUDIES; GEAR SHAFTS; GEAR TRANSMISSION SYSTEM; GEAR TRANSMISSIONS; MECHANICAL FAULT DIAGNOSIS; MODULATED SIGNAL; MOTOR CURRENTS; MOTOR DRIVE SYSTEM; NOVEL MODULATION; SHAFT FREQUENCY; SHAFT MISALIGNMENT;

ELECTRIC MACHINERY; FAILURE ANALYSIS; INDUCTION MOTORS; POWER TRANSMISSION;

ELECTRIC FAULT CURRENTS;

EID: 84871176479     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2012.21.084     Document Type: Article

References (10)

1. HAN Jie, GONG Xiaoyun, CHEN Hong. Applying full vector spectrum for gear fault diagnosis [J]. Journal of Mechanical Engineering, 2010, 46(8): 81-85.
2. BENBOZID M H. A review of induction motor signature analysis as a medium for fault detection[J]. IEEE Transactions on Industrial Electronics, 2000, 47(5): 984-987.
3. AL-ARBI S, GU F, GUAN L, et al. Gearbox fault diagnosis based on vibration signals measured remotely [J]. Key Engineering Materials, 2009, 413(41): 175-180.
4. YANG Jiangtian, XU Jinwu. Higher order spectral analysis in fault diagnosis of rotors [J]. Chinese Journal of Mechanical Engineering, 2001, 14(1): 40-44.
5. NAGI R M. Helical gearbox fault detection using motor current signature analysis: Thesis of doctor of philosophy[M]. Manchester: University of Manchester, 2007.
6. LI Weihua, ZHANG Guicai, SHI Tielin, et al. Gear creak early diagnosis using bispectrum diagonal slice [J]. Chinese Journal of Mechanical Engineering, 2003, 16(2): 193-196.
7. LI Lingjun, HAN Jie, LI Pengyong, et al. Intelligent fault diagnosis method based on vector-bispectrum[J]. Journal of Mechanical Engineering, 2011, 47(11): 64-67.
8. GU F, SHAO Y, HU N, et al. Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment[J]. Key Engineering Materials, 2011, 25(1): 360-376.
9. BELLINI A, FILIPPETTI F, FRANCESCHINI G, et al. Quantitative evaluation of induction motor broken bars by means of electrical signature analysis [J]. IEEE Transactions on Industry Applications, 2001, 37(5): 1248-1255.
10. OBAID R R, HABETLER T G, TALLAM R M. Detecting load unbalance and shaft misalignment using stator current in inverter-driven induction motors [J]. IEEE, Int. Elec. Mach. and Drives Conf., 2003, 4: 1454-1458.