A Review of Online Partial Discharge Measurement of Large Generators
Yuanlin Luo,
Zhaohui Li and
Hong Wang
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Yuanlin Luo: School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Zhaohui Li: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Hong Wang: Three Gorges Hydropower Plant, China Yangtze Power Corporation, Yichang 443002, China
Energies, 2017, vol. 10, issue 11, 1-32
Abstract:
Online partial discharge (PD) measurements have long been used as an effective means to assess the condition of the stator windings of large generators. An increase in the use of PD online measurement systems during the last decade is evident. Improvements in the detection capabilities are partly the reason for the increased popularity. Another reason has been the development of digital signal processing techniques. In addition, rapid progress is being made in automated single PD source classification. However, there are still some factors hindering wider application of the system, such as the complex PD mechanism and PD pulse propagation in stator windings, the presence of detrimental noise and disturbances on-site, and multiple PD sources occurring simultaneously. To avoid repetition of past work and to provide an overview for fresh researchers in this area, this paper presents a comprehensive survey of the state-of-the-art knowledge on PD mechanism, PD pulse propagation in stator windings, PD signal detection methods and signal processing techniques. Areas for further research are also presented.
Keywords: large generator; stator winding insulation; partial discharge (PD); PD mechanism; propagation characteristics; signal detection methods; signal processing techniques (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:11:p:1694-:d:116397
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