發(fā)布時(shí)間：2018-01-25 22:16

  本文關(guān)鍵詞： 發(fā)電設(shè)備 健康監(jiān)測 故障診斷 專家自動(dòng)診斷系統(tǒng)(EADS) 沖擊解調(diào)　出處：《石家莊鐵道大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著市場經(jīng)濟(jì)的發(fā)展,國內(nèi)的電力企業(yè)越來越迫切的認(rèn)識(shí)到發(fā)電設(shè)備的可靠性是適應(yīng)新的市場需要的重要保證,也是參與競爭的必不可少的先決條件。長期以來形成的計(jì)劃檢修模式已經(jīng)越來越不適應(yīng)現(xiàn)代企業(yè)發(fā)展的需要,因此對發(fā)電設(shè)備實(shí)施健康監(jiān)測和遠(yuǎn)程故障診斷對于提高發(fā)電設(shè)備的可靠度和生產(chǎn)安全穩(wěn)定性,提升電廠效益,使維修模式由計(jì)劃檢修向狀態(tài)檢修和精細(xì)化檢修轉(zhuǎn)變具有重大意義。本論文以中國華電集團(tuán)公司開展的“精密診斷與遠(yuǎn)程診斷管理”項(xiàng)目為基礎(chǔ),在大量實(shí)踐和理論研究的基礎(chǔ)上提出了發(fā)電設(shè)備健康監(jiān)測和遠(yuǎn)程故障診斷的基本結(jié)構(gòu)和方案,對實(shí)施中的關(guān)鍵性技術(shù)問題進(jìn)行了研究和驗(yàn)證。本文首先分析了電廠主要設(shè)備的故障模式及特征,設(shè)計(jì)了電廠設(shè)備健康監(jiān)測的總體方案,并對遠(yuǎn)程診斷系統(tǒng)的網(wǎng)絡(luò)構(gòu)架進(jìn)行了設(shè)計(jì)。其次,論文對專家自動(dòng)診斷系統(tǒng)(EADS)的診斷規(guī)則和診斷流程進(jìn)行了詳細(xì)介紹,以診斷轉(zhuǎn)子不平衡為例介紹了EADS的工作原理,并對實(shí)踐中如何提高EADS的準(zhǔn)確性進(jìn)行了介紹。遠(yuǎn)程診斷功能是基于Internet的數(shù)據(jù)同步來實(shí)現(xiàn)的,數(shù)據(jù)同步利用了Sybase數(shù)據(jù)庫的客戶/服務(wù)器體系結(jié)構(gòu)和開放式的數(shù)據(jù)接口,通過掃描和共享數(shù)據(jù)庫的日志文件實(shí)現(xiàn)數(shù)據(jù)傳輸。最后,論文對電廠重要輔機(jī)設(shè)備健康監(jiān)測的幾個(gè)關(guān)鍵技術(shù)進(jìn)行了研究。針對高壓電氣設(shè)備的局部放電采用的超聲檢測技術(shù)、高壓異步電動(dòng)機(jī)的動(dòng)態(tài)監(jiān)測(ESA)技術(shù)以及滾動(dòng)軸承的沖擊解調(diào)技術(shù)進(jìn)行了研究和實(shí)踐,對中速磨煤機(jī)的行星齒輪減速機(jī)故障診斷進(jìn)行了初步研究。論文運(yùn)用了當(dāng)今世界上成熟先進(jìn)的技術(shù),立足于實(shí)踐經(jīng)驗(yàn),并通過“精密診斷與遠(yuǎn)程診斷管理”項(xiàng)目驗(yàn)證了發(fā)電設(shè)備實(shí)施健康監(jiān)測和遠(yuǎn)程故障診斷的實(shí)用性和科學(xué)性。
[Abstract]:With the development of market economy, more and more domestic power enterprises realize that the reliability of power generation equipment is an important guarantee to meet the needs of the new market. It is also an indispensable prerequisite to participate in the competition. The planned overhaul model which has been formed for a long time has become more and more unsuitable for the development of modern enterprises. Therefore, the implementation of health monitoring and remote fault diagnosis for power generation equipment to improve the reliability of generating equipment and production safety and stability, and improve the efficiency of power plants. It is of great significance to change the maintenance mode from planned maintenance to condition based maintenance and fine maintenance. This paper is based on the project of "Precision diagnosis and remote diagnosis Management" developed by China Huadian Group Company. Based on a large number of practical and theoretical studies, the basic structure and scheme of health monitoring and remote fault diagnosis of power generation equipment are put forward. The key technical problems in the implementation are studied and verified. Firstly, the failure mode and characteristics of the main equipment in the power plant are analyzed, and the overall scheme of the equipment health monitoring in the power plant is designed. And the network architecture of remote diagnosis system is designed. Secondly, the diagnosis rules and diagnosis flow of expert automatic diagnosis system (EADS) are introduced in detail. Taking the diagnosis of rotor unbalance as an example, the working principle of EADS is introduced. It also introduces how to improve the accuracy of EADS in practice. The remote diagnosis function is realized based on the data synchronization of Internet. Data synchronization utilizes the client / server architecture of Sybase database and open data interface to realize data transmission by scanning and sharing database log files. In this paper, several key technologies for health monitoring of important auxiliary equipment in power plant are studied, and ultrasonic detection technology is used for partial discharge of high voltage electrical equipment. The dynamic monitoring ESAs of high voltage asynchronous motors and the impact demodulation technology of rolling bearings are studied and implemented. In this paper, the fault diagnosis of planetary gear reducer of medium speed coal mill is preliminarily studied. The paper uses the mature and advanced technology in the world and bases on the practical experience. The practicability and scientific nature of health monitoring and remote fault diagnosis of power generation equipment are verified by the project of "precise diagnosis and remote diagnosis management".
【學(xué)位授予單位】：石家莊鐵道大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM621

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