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  本文選題：離心式機組 + 故障檢測與診斷��； 參考：《湖南大學》2011年碩士論文

【摘要】：隨著科學技術(shù)的快速發(fā)展和工業(yè)自動化水平的不斷提高,空調(diào)系統(tǒng)在國民經(jīng)濟各部門和人民生活中應用日益廣泛,空調(diào)系統(tǒng)的能耗越來越大。節(jié)能和環(huán)保成為當今世界關(guān)注的兩個重大主題,提高能源利用效率和減少溫室氣體的排放變得越來越重要。暖通空調(diào)系統(tǒng)在實際的運行中,常常由于各種各樣的故障導致系統(tǒng)無法滿足設(shè)計的預期要求,導致大量的能源浪費,甚至經(jīng)過正確調(diào)試的空調(diào)系統(tǒng)在運行一段時間之后也時常發(fā)生這樣的情況。故障檢測與診斷可以降低系統(tǒng)能耗并幫助系統(tǒng)恢復到正常的運行狀態(tài)。因此,故障診斷對空調(diào)系統(tǒng)十分重要。 本文提出了基于模型方法的離心式機組故障檢測與診斷策略,該策略主要包含數(shù)據(jù)預處理器,回歸模型的建立,實時閾值的產(chǎn)生和故障診斷分類器幾個部分。機組故障檢測與診斷策略是選取六個有典型物理意義的特性參數(shù)來指示冷水機組的運行情況,利用機組正常運行數(shù)據(jù)建立特性參數(shù)預測模型作為基準值,比較每個特性參數(shù)的計算值和基準值得到殘差。故障閾值結(jié)合數(shù)據(jù)分析,采用統(tǒng)計分析方法計算得到,隨機組運行工況變化而變化。當一個或多個特性參數(shù)的殘差超出了相應閾值并有持續(xù)偏離的趨勢時,就檢測出機組存在故障,再由故障診斷分類器診斷出具體的故障。在機組系統(tǒng)的基本制冷循環(huán)和各個部件的熱力學原理基礎(chǔ)上,結(jié)合大量的實驗數(shù)據(jù)分析了機組各個故障與每一個特性參數(shù)的相互影響,得到機組故障診斷分類器規(guī)則表。 故障檢測與診斷策略運用ASHRAE研究項目的實驗數(shù)據(jù)進行了驗證,并將該策略應用于香港某建筑真實空調(diào)系統(tǒng),利用采集的機組歷史運行數(shù)據(jù)分析了機組冷凝器結(jié)垢故障。最后,運用冷水機組故障檢測與診斷策略原理在Visual Basic6.0環(huán)境下開發(fā)了冷水機組性能診斷軟件
[Abstract]:With the rapid development of science and technology and the continuous improvement of the level of industrial automation, the air conditioning system is widely used in the national economy and people's daily life, and the energy consumption of the air conditioning system is increasing. Energy conservation and environmental protection have become two major themes in the world today. It is becoming more and more important to improve energy efficiency and reduce greenhouse gas emissions. In the actual operation of HVAC system, due to various failures, the system can not meet the expected requirements of the design, resulting in a large amount of energy waste. Even properly adjusted air-conditioning systems often occur after running for some time. Fault detection and diagnosis can reduce system energy consumption and help the system to return to normal operation state. Therefore, fault diagnosis is very important to air conditioning system. In this paper, a fault detection and diagnosis strategy for centrifugal units based on model method is proposed. The strategy includes data preprocessor, establishment of regression model, generation of real time threshold and fault diagnosis classifier. The strategy of unit fault detection and diagnosis is to select six characteristic parameters with typical physical significance to indicate the operation of the chiller, and to establish the prediction model of characteristic parameters by using the normal operation data of the chiller as the reference value. The residual error is obtained by comparing the calculated value of each characteristic parameter with the reference value. Combined with the data analysis, the fault threshold is calculated by statistical analysis method, and it varies with the operating condition of the unit. When the residuals of one or more characteristic parameters exceed the corresponding threshold and have a tendency to deviate continuously, the fault of the unit is detected and the specific fault is diagnosed by the fault diagnosis classifier. On the basis of the basic refrigeration cycle of the unit system and the thermodynamic principle of each component, combined with a large number of experimental data, the interaction between each unit fault and each characteristic parameter is analyzed, and the rule table of unit fault diagnosis classifier is obtained. The strategy of fault detection and diagnosis is verified by the experimental data of the ASHRAE research project. The strategy is applied to the real air conditioning system of a building in Hong Kong. The scaling fault of condenser is analyzed by using the historical operation data of the unit. Finally, using the principle of fault detection and diagnosis strategy of chillers, the performance diagnosis software of chillers is developed under the environment of Visual Basic6.0.
【學位授予單位】：湖南大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH165.3

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本文編號：1816471