檢波后合併 的英文怎麼說
中文拼音 [jiǎnbōhòugěbìng]
檢波后合併
英文
past detection combining-
It can also determine the fault spot and reason. this technology has been used in some technological fields and proved efficient. it has promoted the revolution of maintance system and the historial protection is replaced by preventive maintenance. with this technology, we can improve the reliability of machine and decrease the maintance fee. recently, reserch has pick up a fervent pace in the area of fault diagnosis of electrical machines. the paper simply analyzes the fault reason of electrical machines, stressly describes and explores the methods of condition monitoring and fault diagnosis such as partial discharge, stator current, rotating speed, vibration etc. fault prognosis is now include diagnostic feature, reason, spot. prodigious improvement in signal processing hardware and software has made this possible. primarily, these techniques depend on locating specific harmonic components of the fault. these harmonic components are usually diffirent for diffirent types of faults. automated tools such as fuzzy logic based system is also simply presented in the paper
本文從絕緣結構的故障機理入手，以絕緣結構故障的典型特徵? ?局部放電為研究對象，重點討論局部放電的在線監測方法、適用場合併比較它們的優缺點；在分析籠型異步電機轉子斷條在線監測的定子電流監測方法后，根據其缺陷，本文探討了溫升不平衡法、希爾伯特變換數字濾波、小波包分析法的原理及優點；以電機軸承、氣隙偏心等故障為研究對象，通過對電機振動和轉速頻率的檢測，診斷電機的故障類型；本文的重點工作是將人工智慧技術中的模糊技術應用於電機的狀態監測和故障診斷中，力求使電機故障診斷更接近人工智慧化；最後，本文對電機狀態監測和故障診斷系統進行了硬體和軟體初步設計，為實現預測維修提供了有效的技術手段。In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression
首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。
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