此页面上的内容需要较新版本的 Adobe Flash Player。

获取 Adobe Flash Player

Analysis of condition monitoring methods for electromotor on oil platform

 

LI Jin (李进), DONG Xin-hong (董欣红), LI Shao-hua (李少华), HE Shan (何杉), TAO Jian (陶建), YANG Zai-jiang (杨在江)

 

(Oilfield Construction Engineering Company, Energy Technology and Services Company, China National Offshore Oil Corporation, Tianjin 300452, China)

 

Abstract: Electromotor on oil platform often has mechanical failures. In order to achieve monitoring and diagnosis of the electromotor, common diagnostic methods of electromotor are summarized first, and then vibration monitoring is regarded as a suitable method for monitoring and diagnosing of mechanical failures by comparing the advantages and disadvantages of each method and characteristics of mechanical faults. At last, the fault frequencies and arrangements of vibration measuring points are analyzed. By using vibration monitoring method, the diagnosis of bearing faults of electromotor is carried out. The results show that the analysis of condition monitoring methods for electromotor is meanning for machine maintenance and repair, and it lays foundation for computerized repair system and resource management system.

 

Key words: oil platform; electromotor; condition monitoring; vibration; offline

 

CLD number: TP277 Document code: A

 

Article ID: 1674-8042(2013)04-0325-05  doi: 10.3969/j.issn.1674-8042.2013.04.005

 

References

 


[1] RONG Ming-zhe, JIA Shen-li, WANG Xiao-hua. State detection of electrical equipment. Beijing: China Machine Press, 2010.
[2] LIU Mu-shuang, CAI Guang-xin, XIE Ying. Remote intelligent fault diagnosis of beam pumping unit. Oil Field Equipment, 2006, 35(5): 15-18.
[3] CHEN Yi-guo,YANG Hong-mao. Condition monitoring and fault diagnosis of beam pumping unit. China Plant Engineering, 2009,1: 37-39.
[4] MA Hong-zhong. Condition monitoring and fault diagnosis of machine. Beijing: China Machine Press, 2007.
[5] HAN Dong-wu. The analysis and monitoring of causes of electric machine. Journal of Electric Power, 2009, 18(4): 281-282.
[6] LIANG Xin-xin. State and prospect of the induction motor online fault detection. Micro Motors, 2011, 44(9): 75-78.
[7] CHANG Xi-chang. Processing methods of vibration signal and vibration monitoring and fault diagnosis of enterprise equipment. Signal Processing, 2009, 12(14): 84-88.
[8] WU Xin,Pong M H,Lee C M, et al. Reduction of EMI by electric field method. In: Proceedings of the 4th Annual Applied Power Electronics Conference and Exposition(APEC'99), Dallas, Texas, USA, 1999, 1: 135-138.

 

 

[full text view]