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發(fā)電機勵磁碳刷運行故障檢測方法
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浙江浙能嘉華發(fā)電有限公司

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TM307

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Fault Detection Method of Generator Excitation CarbonBrush Operation
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    摘要:

    針對發(fā)電機勵磁系統中碳刷結構故障檢測困難,故障定位不準確的問(wèn)題,本文根據實(shí)際碳刷運行過(guò)程建立碳刷結構檢測系統。通過(guò)建立組件對象模型(Component Object Model COM)動(dòng)態(tài)檢測方案將碳刷結構模型化,使系統能夠更為精確的檢測到故障原因。設計數字式光纖傳感器(BF5R)檢測電路將碳刷故障過(guò)程圖像化,縮短系統檢測時(shí)間。通過(guò)改進(jìn)維格納威爾分布(Wigner Ville distribution WVD)故障定位算法精準定位碳刷故障位置,采用合理方式進(jìn)行維修。通過(guò)Proteus軟件仿真檢測系統運行過(guò)程,實(shí)驗表明本設計對碳刷故障檢測具有明顯效果,在15KW發(fā)電機環(huán)境中,碳刷故障定位時(shí)間為3.5min,信號幅值為13V,結果精確度為96.4%,證實(shí)了本設計的可行性;通過(guò)仿真對比三種不同系統信號檢測幅值電壓和檢測準確度曲線(xiàn),由此驗證了本研究的優(yōu)越性。

    Abstract:

    Aiming at the difficulty of detecting the carbon brush structure fault in the generator excitation system and the inaccurate fault location, this paper establishes a carbon brush structure detection system based on the actual carbon brush operation process. By establishing a Component Object Model COM (Component Object Model COM) dynamic detection program to model the carbon brush structure, the system can detect the cause of the failure more accurately. Design a digital optical fiber sensor (BF5R) detection circuit to visualize the carbon brush failure process and shorten the system detection time. By improving the Wigner Ville distribution WVD (Wigner Ville distribution WVD) fault location algorithm to accurately locate the carbon brush fault location, and use reasonable methods for maintenance. Through the Proteus software to simulate the operation process of the detection system, the experiment shows that this design has obvious effects on carbon brush fault detection. In a 15KW generator environment, the carbon brush fault location time is 3.5min, the signal amplitude is 13V, and the result accuracy is 96.4% , Confirmed the feasibility of the design; through simulation and comparison of three different system signal detection amplitude voltage and detection accuracy curve, thus verifying the superiority of this research.

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劉剛,趙健龍.發(fā)電機勵磁碳刷運行故障檢測方法計算機測量與控制[J].,2022,30(6):53-58.

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歷史
  • 收稿日期:2021-12-07
  • 最后修改日期:2022-01-07
  • 錄用日期:2022-01-10
  • 在線(xiàn)發(fā)布日期: 2022-06-21
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