基于多信息融合的交流接觸器狀態(tài)評估方法研究
[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(xué)位授予單位】:沈陽工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM572.2
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