發(fā)布時(shí)間：2018-06-24 07:43

  本文選題：光電復(fù)合海纜 + 電氣故障　； 參考：《華北電力大學(xué)》2016年碩士論文

【摘要】：光電復(fù)合海底電纜因具有信息與電能同時(shí)傳輸?shù)葍?yōu)點(diǎn),在海島和海上平臺(tái)等工程應(yīng)用中越來越廣泛。為了縮短修復(fù)海纜故障所用時(shí)間,保證海纜運(yùn)行通暢,減少經(jīng)濟(jì)損失,對(duì)海纜故障類型的診斷進(jìn)行研究非常必要。本課題以某電力公司海底電纜在線監(jiān)測(cè)項(xiàng)目的光電復(fù)合海纜為基礎(chǔ)開展研究。本文首先綜述了利用分布式光纖傳感技術(shù)的海纜監(jiān)測(cè)系統(tǒng)及故障診斷理論基礎(chǔ),介紹了小波包分析及神經(jīng)網(wǎng)絡(luò)的相關(guān)原理,明確了使用小波包與神經(jīng)網(wǎng)絡(luò)相結(jié)合的方法進(jìn)行海纜故障類型的診斷,分析了海纜故障的幾種類型及產(chǎn)生原因,根據(jù)多年以來海纜故障的測(cè)量經(jīng)驗(yàn)及海纜發(fā)生故障時(shí)的傳感光纖的溫度和應(yīng)變變化特點(diǎn),模擬海纜故障數(shù)據(jù);其次,利用小波分析算法對(duì)故障數(shù)據(jù)進(jìn)行降噪處理,去除噪聲干擾,還原原始信號(hào)中的有效信息,并利用小波包分解降噪后的數(shù)據(jù),分別提取出每種故障的能量、標(biāo)準(zhǔn)差及小波包Shannon熵三種故障特征,作為模式識(shí)別的診斷依據(jù);再次,針對(duì)電氣及機(jī)械故障,分別建立了BP、PNN兩種神經(jīng)網(wǎng)絡(luò),確定了每種網(wǎng)絡(luò)的最佳參數(shù),將提取出的特征向量輸入到兩種網(wǎng)絡(luò)中,對(duì)三種故障特征的故障區(qū)分度作了對(duì)比,并綜合比較了這兩種網(wǎng)絡(luò)的診斷性能。最后,利用LabVIEW虛擬儀器,搭建了海底電纜故障診斷平臺(tái),可完成數(shù)據(jù)的讀取、分析、診斷及結(jié)果顯示。仿真結(jié)果表明,利用小波包分解提取出的三種特征向量均在不同程度表征出海纜故障特征。對(duì)于電氣故障,提取標(biāo)準(zhǔn)差作為特征向量的診斷效果最好,對(duì)于機(jī)械故障,提取各頻帶能量作為特征向量的診斷效果最好。在神經(jīng)網(wǎng)絡(luò)的選擇上,PNN網(wǎng)絡(luò)的分類性能總體高于BP網(wǎng)絡(luò),更適合做海纜故障診斷的分類器。本文研究成果為海纜的故障診斷提供了一種經(jīng)濟(jì)、可靠的新途徑,為海纜的在線故障監(jiān)測(cè)提供理論基礎(chǔ),對(duì)海纜的故障診斷具有一定參考價(jià)值。
[Abstract]:Because of the advantages of simultaneous transmission of information and electric energy, optoelectronic composite submarine cables are more and more widely used in sea islands and offshore platforms. In order to shorten the time of repairing submarine cable fault, ensure the smooth operation of submarine cable and reduce economic loss, it is very necessary to study the diagnosis of submarine cable fault type. The research is based on the optoelectronic composite submarine cable of a submarine cable online monitoring project of a power company. In this paper, the monitoring system and fault diagnosis theory of submarine cable based on distributed optical fiber sensing technology are reviewed, and the related principles of wavelet packet analysis and neural network are introduced. In this paper, the method of combining wavelet packet with neural network is used to diagnose the fault types of submarine cables, and several types of faults and their causes are analyzed. According to the measurement experience of submarine cable fault over the years and the temperature and strain characteristics of sensing fiber when submarine cable fault occurs, the fault data of submarine cable are simulated. Secondly, the wavelet analysis algorithm is used to reduce the noise of the fault data. Removing the noise interference, reducing the effective information in the original signal, and using wavelet packet decomposing the de-noised data, the energy, standard deviation and Shannon entropy of each fault are extracted respectively, which can be used as the diagnostic basis for pattern recognition. Thirdly, for electrical and mechanical faults, two kinds of neural networks are established, and the optimal parameters of each network are determined. The extracted feature vectors are input into the two networks, and the fault classification of the three fault features is compared. The diagnostic performance of the two networks is compared. Finally, using LabVIEW virtual instrument, a submarine cable fault diagnosis platform is built, which can read, analyze, diagnose and display the data. The simulation results show that the three eigenvectors extracted by wavelet packet decomposition can represent the fault characteristics of submarine cable to varying degrees. For electrical faults, the diagnostic effect of extracting standard deviation as eigenvector is the best, and for mechanical fault, the best is to extract the energy of each frequency band as eigenvector. In the selection of neural network, the classification performance of PNN is higher than that of BP neural network, so it is more suitable to be used as classifier for submarine cable fault diagnosis. The research results in this paper provide a new economic and reliable way for the fault diagnosis of submarine cables, and provide a theoretical basis for on-line fault monitoring of submarine cables, and have a certain reference value for the fault diagnosis of submarine cables.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：P756.1

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本文編號(hào)：2060660