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  本文選題：礦井風(fēng)機　切入點：遠程故障診斷　出處：《華北理工大學(xué)》2015年碩士論文

【摘要】：礦井風(fēng)機是確保礦井通風(fēng)正常,避免瓦斯等有毒有害氣體積存,保障安全生產(chǎn)的關(guān)鍵設(shè)備之一。傳統(tǒng)方式通常采用定期維修方式以保證其良好的運行狀態(tài),但是該種方式易造成維修過�；蚓S修不足,難以適應(yīng)故障的隨機性,一定程度上造成人力、物力、財力的損失。故障監(jiān)測與診斷技術(shù)的出現(xiàn),實現(xiàn)了按狀態(tài)維修,避免了定期維修的問題。隨著網(wǎng)絡(luò)技術(shù)的發(fā)展,故障監(jiān)測與診斷技術(shù)實現(xiàn)了遠程化�；诖�,研究并開發(fā)了礦井風(fēng)機遠程故障診斷系統(tǒng)。以GAF型礦井風(fēng)機為研究對象,對風(fēng)機振動機理和常見故障展開研究,分析歸納了風(fēng)機故障征兆。利用傳感器技術(shù)、計算機技術(shù)、網(wǎng)絡(luò)技術(shù)、數(shù)據(jù)庫技術(shù),研究設(shè)計了一套C/S結(jié)構(gòu)的遠程故障診斷系統(tǒng),該系統(tǒng)由本地端、遠程端和服務(wù)器端組成,硬件系統(tǒng)還包括振動速度傳感器、霍爾傳感器、信號采集卡等,完成了系統(tǒng)軟硬件設(shè)計,實現(xiàn)了信號采集控制、實時監(jiān)測、分析診斷、信息管理和遠程通信等功能。系統(tǒng)可進行風(fēng)機振動信號實時采集,設(shè)備運行狀態(tài)動態(tài)監(jiān)測,設(shè)備預(yù)報警值和停機范圍值的設(shè)置、顯示和報警提示;建立了有線通訊網(wǎng)絡(luò),利用共享變量技術(shù)共享數(shù)據(jù)信息,實現(xiàn)異地實時監(jiān)測與診斷;在此基礎(chǔ)上,針對風(fēng)機故障的多重性提出了一種基于層次分析法的多重故障診斷方法;利用該方法實現(xiàn)了風(fēng)機故障的模糊診斷,給出了不同故障可能發(fā)生的概率。針對復(fù)雜信號提出了一種EMD-FFT聯(lián)合分析方法,應(yīng)用此方法有效的濾除了高頻干擾信號,提取出了故障頻率信號。在Lab VIEW環(huán)境下設(shè)計了系統(tǒng)各功能模塊,并進行各模塊邏輯關(guān)聯(lián),完成了多目標診斷算法和人機交互界面的設(shè)計;在Access環(huán)境下構(gòu)建了系統(tǒng)數(shù)據(jù)庫;用Matlab實現(xiàn)了EMD-FFT聯(lián)合分析方法。
[Abstract]:Mine fan is one of the key equipments to ensure the normal ventilation, avoid the accumulation of poisonous and harmful gases, and ensure the safety of production.The traditional way usually adopts the regular maintenance method to ensure its good running condition, but this kind of way is easy to cause the maintenance surplus or the maintenance insufficient, is difficult to adapt to the fault randomness, causes the manpower, the material resources and the financial resources loss to a certain extent.The emergence of fault monitoring and diagnosis technology realizes the maintenance according to the condition and avoids the problem of regular maintenance.With the development of network technology, fault monitoring and diagnosis technology realizes remote.Based on this, the remote fault diagnosis system of mine fan is studied and developed.Taking the GAF mine fan as the research object, the vibration mechanism and common faults of the fan are studied, and the fault symptoms of the fan are analyzed and summarized.Using sensor technology, computer technology, network technology and database technology, a set of remote fault diagnosis system with C / S structure is designed. The system is composed of local end, remote end and server side.The hardware system also includes vibration speed sensor, Hall sensor, signal acquisition card and so on. The hardware and software of the system are designed, and the functions of signal acquisition and control, real-time monitoring, analysis and diagnosis, information management and remote communication are realized.The system can collect the vibration signal of fan in real time, dynamically monitor the running state of the equipment, set up the pre-alarm value and stop range value of the equipment, display and alarm the warning, set up the wired communication network, and share the data information by using the shared variable technology.On the basis of this, a multi-fault diagnosis method based on analytic hierarchy process (AHP) is proposed, and the fuzzy diagnosis of fan fault is realized by this method.The probability of different faults is given.A EMD-FFT joint analysis method for complex signals is proposed. The method is used to filter out the high frequency interference signals and extract the fault frequency signals.The function modules of the system are designed under the environment of Lab VIEW, and each module is logically associated, the multi-objective diagnosis algorithm and the man-machine interface are designed, the database of the system is constructed under the environment of Access, and the joint analysis method of EMD-FFT is implemented by Matlab.
【學(xué)位授予單位】：華北理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TD635

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本文編號：1705919