WEI Xieben, LU Xujin, LI Tongbin. Study on Vibration Detection System of Wind-driven Generator based on Virtual Instrument[J]. International Journal of Plant Engineering and Management, 2021, 26(1): 57-64

Study on Vibration Detection System of Wind-driven Generator based on Virtual Instrument
WEI Xieben1, LU Xujin1, LI Tongbin2
1. Shantou Polytechnic, Shantou 515000, Guangdong, China;
2. Jieyang Polytechnic, Jieyang 522000, Guangdong, China
This study analyzes the structural characteristics of wind-driven generator, concludes its comment malfunctions and proposes effective methods by general fault analysis methods, so as to design online detection and fault diagnosis system of wind-driven generator in virtual instrument. This work will realize real-time detection, help engineers to proceed remote fault diagnosis, reduce maintenance time and increase production efficiency. This study is meaningful and practical to develop a fault diagnosis system for wind-driven generators, which shows professionalization of fault diagnosis system.
Key words:    wind-driven generator    virtual instrument    vibration detection    fault diagnosis system   
Received: 2021-01-11     Revised:
DOI: 10.13434/j.cnki.1007-4546.2021.0105
Funds: This paper is supported by the following funding projects: Scientific Research Project of Jieyang Polytechnic (Project No. 2019JYPCQB02); Science and Technology Project of Jieyang (Project No. sdzx002)
Corresponding author:     Email:
Author description:
PDF(422KB) Free
WEI Xieben
LU Xujin
LI Tongbin

[1] MALLAT S P. A wavelet tour of signal processing[M]. Aeademic Press, 1998
[2] PATTEN R J, CHEN J, SIEW T. Fault diagnosis in nonlinear dynamic system via neual networks[C]//Proc. of UKACC/IEEInt. Conference Control 94,Coventry, UK, 1994,3.21-24:2:1346:1351
[3] CHENG H X. The controlling of harmonic wave in controlling high-power electrical transmis-sion[J]. Electrical Transmission, 1999(3) (In Chinese)
[4] REN J P, BAI E Y. Modern CNC machine failure diagnosis to diagnosis and maintenance[M]. National Defence Industry Press, 2002(In Chinese)
[5] SHEN Q D, ZHENG S Y. Equipment fault diagnosis[M]. Chemical Industry Press, 2003(In Chinese)
[6] ZHANG C F, ZHENG W. Mechanical and electrical equipment diagnosis and maintenance[M]. Machinery Industry Press, 2006(In Chinese)
[7] WEI X B. Researches on the online monitoring and fault diagnose system for TRT[D]. Guangzhou University, 2012(In Chinese)