【摘要】：交流接觸器作為開關電器,它的開斷比較頻繁,同時它還可以作為一種控制電器,它控制的對象可以是電動機,也可以是電熱器、電焊機和電力機組等電力負載,在低壓配電系統(tǒng)中運用的非常廣泛,是一種非常重要的低壓電器,因此其安全穩(wěn)定的運行對電網(wǎng)的安全穩(wěn)定運行也是十分必要的,為了保證其安全穩(wěn)定的運行,就是能夠?qū)崟r的監(jiān)測其狀態(tài)并能夠做出及時有效的反應。近年來,隨著在線監(jiān)測技術的日趨成熟,基于大數(shù)據(jù)對電器狀態(tài)進行評估的方法也越來越普遍。因此,本文以CJX2-80為例,從試驗平臺設計、特征參數(shù)提取及去噪處理、狀態(tài)評估等方面進行課題的研究。首先,本課題設計并搭建了交流接觸器全壽命試驗平臺,試驗平臺包括線圈驅(qū)動電路、信號采集電路、信號調(diào)理電路等,測試系統(tǒng)軟件采用的是LabVIEW圖形化編程語言進行模塊化設計,其是美國國家儀器公司提供的虛擬儀器開發(fā)平臺,編寫了上位機數(shù)據(jù)采集、數(shù)據(jù)存儲、數(shù)據(jù)回放、數(shù)據(jù)處理等程序模塊。本文主要監(jiān)測主回路電壓、主回路電流、線圈電壓、線圈電流等參數(shù),從而通過計算或提取波形信號特征等手段來求得接觸電阻、吸合時間、燃弧時間、燃弧能量、分斷電流等參數(shù)。其次,試驗中獲取的數(shù)據(jù)包含許多噪聲,這些噪聲會對狀態(tài)評估產(chǎn)生干擾,使狀態(tài)評估不準確,因此需要進行濾波去噪。本文選取具有良好的非平穩(wěn)性與多分辨分析能力的小波變換進行去噪處理,在小波變換中,閾值和小波層數(shù)的選取要非常謹慎,因為它們兩個選取的好壞直接關系到去噪的效果。這樣經(jīng)過小波變換等手段進行預處理后,提取信號特征,獲得相應特征參數(shù)。最后,基于經(jīng)過分析和預處理的數(shù)據(jù),運用灰色模糊綜合評判對交流接觸器狀態(tài)進行評估,此方法充分的考慮了評估中存在的灰色性、模糊性、隨機性,使評估更加準確。此方法最重要的就是權重的計算和灰色模糊判別矩陣的生成,其灰部都是利用專家打分獲得,權重的模部是通過層次分析法確定的,灰色模糊判別矩陣的模部是由三角隸屬函數(shù)得到的。
[Abstract]:The AC contactor, as a switchgear, is on and off more frequently. At the same time, it can also be used as a control appliance. It can also control electric loads such as electric motors, electric heaters, welding machines and electric power units. It is widely used in the low voltage distribution system and is a very important low voltage electrical apparatus. Therefore, its safe and stable operation is also very necessary for the safe and stable operation of the power grid, in order to ensure its safe and stable operation, Is to be able to monitor their status in real time and to make timely and effective response. In recent years, with the maturation of online monitoring technology, it is more and more popular to evaluate the state of electrical appliances based on big data. Therefore, this paper takes CJX2-80 as an example to study the design of test platform, feature parameter extraction and denoising, state evaluation and so on. First of all, the whole life test platform of AC contactor is designed and built. The test platform includes coil drive circuit, signal acquisition circuit, signal conditioning circuit and so on. The software of the test system adopts the LabVIEW graphic programming language for modular design. It is a virtual instrument development platform provided by the National instrument Company of the United States. The software has compiled the upper computer data acquisition, data storage and data playback. Data processing and other program modules. In this paper, the main circuit voltage, main loop current, coil voltage, coil current and other parameters are monitored, and the contact resistance, absorption time, arc energy and so on are obtained by calculating or extracting the characteristics of the waveform signal. Breaking current and other parameters. Secondly, the data obtained in the experiment contain a lot of noise, which will interfere with the state evaluation and make the state evaluation inaccurate, so it is necessary to carry out filtering and de-noising. In this paper, wavelet transform with good non-stationary and multi-resolution analysis ability is selected for denoising processing. In wavelet transform, the selection of threshold and wavelet layer number should be very careful. Because of their two selection of good or bad directly related to the effect of denoising. After pretreatment by wavelet transform, the signal features are extracted and the corresponding feature parameters are obtained. Finally, based on the data analyzed and preprocessed, the state of AC contactor is evaluated by grey fuzzy comprehensive evaluation. This method fully considers the grey, fuzzy and randomness in the evaluation, which makes the evaluation more accurate. The most important part of this method is the calculation of weight and the generation of grey fuzzy discriminant matrix. The grey part is obtained by expert scoring, and the module part of weight is determined by analytic hierarchy process (AHP). The module of grey fuzzy discriminant matrix is obtained from triangular membership function.
【學位授予單位】：沈陽工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM572.2

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