Vibration fault diagnosis method based on compositive characteristics of rotor vibration and stator current

被引:0
|
作者
Shuting, Wan [1 ]
Yonggang, Li [1 ]
机构
[1] North China Elect Power Univ, Sch Mech Engn, Baoding 071003, Peoples R China
来源
Proceedings of the ASME Power Conference 2007 | 2007年
关键词
generator; vibration; fault diagnosis; compositive characteristics; rotor vibration; stator current;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Rotor vibration characteristics are first analyzed, when the rotor winding inter-turn short circuit fault, the air-gap dynamic eccentricity fault, the air-gap static eccentricity fault and the imbalance fault occurs. Next, the generator stator current characteristics on the faults also were analyzed, the results show that the faults can't be diagnosed based only on rotor vibration characteristics or stator current characteristics. But considering the differences of compositive characteristics of the rotor vibration and stator current caused by different rotor faults, a new method of generator vibration fault diagnosis, based on compositive characteristics, is developed. Finally, the rotor vibration and stator current of a type SDF-9 generator is measured in the laboratory to verify the theoretical analysis presented above.
引用
收藏
页码:263 / 269
页数:7
相关论文
共 50 条
  • [21] Vibration signal based diagnosis method for looseness fault of transformer winding
    Yan J.
    Ma H.
    Li K.
    Zhang D.
    Sun Y.
    Qi W.
    Ma, Hongzhong (hhumhz@163.com), 1600, Automation of Electric Power Systems Press (41): : 122 - 128
  • [22] Research on Vibration Fault Diagnosis Strategy for Commonly Supported Rotor of Turbogenerator
    Gao, Yansong
    Sun, Jia
    Li, Jianhua
    Wang, Fengliang
    Wan, Jie
    Liu, Jinfu
    PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017, : 305 - 310
  • [23] SVM diagnosis method of rotor vibration faults based on integration of information exergy
    Ai, Yan-Ting
    Chen, Chao-Long
    Tian, Jing
    Wang, Zhi
    Hangkong Dongli Xuebao/Journal of Aerospace Power, 2014, 29 (10): : 2464 - 2470
  • [24] Fault Diagnosis of Wind Turbine Gearboxes Based on DFIG Stator Current Envelope Analysis
    Cheng, Fangzhou
    Qu, Liyan
    Qiao, Wei
    Wei, Chun
    Hao, Liwei
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10 (03) : 1044 - 1053
  • [25] Fault diagnosis of inter-turn short circuit in turbogenerator rotor windings based on vibration-current signal fusion
    Fang, Ruiming
    Liu, Zilin
    Peng, Changqing
    Yang, Yulei
    Zhang, Shuming
    ENERGY REPORTS, 2023, 9 : 316 - 323
  • [26] Fault diagnosis of inter-turn short circuit in turbogenerator rotor windings based on vibration-current signal fusion
    Fang, Ruiming
    Liu, Zilin
    Peng, Changqing
    Yang, Yulei
    Zhang, Shuming
    ENERGY REPORTS, 2023, 9 : 316 - 323
  • [27] Machine Learning-based Explainable Stator Fault Diagnosis in Induction Motor using Vibration Signal
    Sinha, Aparna
    Das, Debanjan
    2023 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, I2MTC, 2023,
  • [28] A Feature Extraction Method for Aircraft Engine Rotor Vibration Diagnosis
    Zhang, Cui
    Wang, Keming
    Zhao, Pengran
    2014 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY, APISAT2014, 2015, 99 : 1576 - 1581
  • [29] Fault Diagnosis Method of Escalator Step System Based on Vibration Signal Analysis
    Fuqiang You
    Dianlong Wang
    Guanghai Li
    Chunhua Chen
    International Journal of Control, Automation and Systems, 2022, 20 : 3222 - 3232
  • [30] A new fault diagnosis method for power transformer winding deformation based on vibration
    Ma, H. (hhumhz@163.com), 1600, Automation of Electric Power Systems Press (37): : 89 - 95