配電裝置能量聚集模式的識(shí)別技術(shù)研究

1.45萬字
自己原創(chuàng)的畢業(yè)論文，僅在本站獨(dú)家出售，重復(fù)率低，推薦下載使用

摘要 電纜作為一種頻繁使用的配電裝置，在電力系統(tǒng)中占有重要的地位。因此，對(duì)電纜工作狀況的監(jiān)督對(duì)保障電力系統(tǒng)的正常運(yùn)行具有重要意義。據(jù)統(tǒng)計(jì)，電纜的故障點(diǎn)大部分出現(xiàn)在電纜接頭處，故障多表現(xiàn)為能量的聚集，而能量聚集的外在表現(xiàn)形式為溫度。本文主要研究電纜接頭的能量聚集模式的識(shí)別問題，首先檢測(cè)電纜接頭的溫度，然后在溫度信息上進(jìn)行特征提取，接著對(duì)能量聚集模式進(jìn)行識(shí)別，最后實(shí)現(xiàn)識(shí)別系統(tǒng)人機(jī)交互。
本文的主要研究?jī)?nèi)容先是介紹了電纜接頭能量聚集模式識(shí)別的研究意義和研究現(xiàn)狀，包括目前在該領(lǐng)域內(nèi)的研究熱點(diǎn)、難點(diǎn)和未來的發(fā)展趨勢(shì)。然后設(shè)計(jì)了對(duì)電纜接頭能量聚集外在表現(xiàn)——溫度的檢測(cè)電路，并在時(shí)間上記錄的溫度信息上提取相應(yīng)的模式特征信息。隨后，利用神經(jīng)網(wǎng)絡(luò)對(duì)特征信息進(jìn)行模式識(shí)別，得到電纜接頭當(dāng)前能量聚集模式，從而對(duì)其危害等級(jí)進(jìn)行判斷。最后，利用相關(guān)軟件實(shí)現(xiàn)電纜接頭能量聚集模式識(shí)別系統(tǒng)，并實(shí)現(xiàn)系統(tǒng)的人機(jī)交互。

關(guān)鍵詞：能量聚集 模式識(shí)別 電纜


Research on Energy Accumulation Pattern Recognition Technology of Distribution Equipment
Abstract The cables, which are frequently used in distribution equipments, play an important role in power system. Then, the monitoring of cable working situation is significative for the power system protection. It is statisticsed that most of cable faults occur at the joints of calbes.The faults are generally expressed as the energy accumulation. The apperance of energy accumulation is temperature. The main concerntration of this dissertation is on the pattern recognition technology of energy accumulation of cable joints. The temperature of cable joint is detected at first. Then, the features are extracted from the temperature information. The patterns of energy accumulation are recognized.The human-computer interface of recognition is designed finally.
The main contents are organized as follows：The research status and significance of cable joint energy accumulation pattern recognition are introduced, including the current research spots and future trendy in this field. The detection circuits of temperature, which is the expression of energy accumulation of cable joints, are designed. The pattern feature information is extracted from the recording temperature of time. The patterns are recognized by applying neural network in extracted feature information. Then, the current pattern of energy accumulation is achieved, and its harm level is determined. The pattern recognition system of energy accumulation of cable joints is implemented by relevant software. Besides, the human-computer interface is realized.

Key words energy accumulation pattern recognition cable joint


目錄
第一章 緒論 1
1.1 電纜在電力系統(tǒng)中的重要性 1
1.2 電纜接頭的故障及其表現(xiàn) 1
1.3 研究現(xiàn)狀 3
1.4 論文組織結(jié)構(gòu) 4
第二章 能量聚集外在溫度檢測(cè) 6
2.1 電纜接頭能量聚集基本概念 6
2.1.1 氣體中的電暈聚集 6
2.1.2 沿固體與氣體交界面上的沿面聚集 6
2.1.3 固體介質(zhì)的內(nèi)部聚集 6
2.2 能量聚集的監(jiān)測(cè)方法 7
2.2.1非電測(cè)量法 7
2.2.2電氣測(cè)量法 8
2.3 能量聚集的外在表現(xiàn)——溫度 8
2.4 溫度檢測(cè)電路設(shè)計(jì) 9
2.4.1 功能定義和設(shè)計(jì)思路 9
2.4.2 器件介紹 9
2.4.3 硬件工作原理 10
第三章 基于神經(jīng)網(wǎng)絡(luò)的能量聚集模式識(shí)別 11
3.1能量聚集模式識(shí)別 12
3.2 能量聚集特征提取 12
3.3 神經(jīng)網(wǎng)絡(luò) 15
3.3.1神經(jīng)網(wǎng)絡(luò)簡(jiǎn)介 15
3.3.2 神經(jīng)網(wǎng)絡(luò)的分類 15
3.3.3 BP神經(jīng)網(wǎng)絡(luò) 15
第四章 識(shí)別系統(tǒng)人機(jī)交互界面 19
4.1 人機(jī)交互界面 19
4.2 利用MATLEB進(jìn)行界面編輯 19
結(jié)論 22
致謝 23
參考文獻(xiàn) 24