fault signalling造句
例句與造句
- Research on a extraction method for weak fault signal and its application
一種弱故障特征信號的提取方法及其應(yīng)用研究 - Two wavelet transform methods and application of fault signal analysis on generator
兩種小波變換方法及其在發(fā)電機故障信號分析中的應(yīng)用 - Four new wavelet transforms and their applications to fault signal analysis in generators of power systems
4種新的小波變換及其在發(fā)電機故障信號分析中的應(yīng)用 - Research on the extraction method of time - domain symptoms based on wavelet packet decompositions of mechanical fault signal
機械故障信號小波包分解的時域特征提取方法研究 - Mathematic models about fault classification and discrimination are established by means of computing box - counting dimensions of fault signals
通過計算故障信號的盒維數(shù)，建立故障分類和故障程度辨識的數(shù)學(xué)模型，完成故障的診斷。 - It's difficult to find fault signalling in a sentence. 用fault signalling造句挺難的
- The simulation result shows that using wavelet packet analysis to separate the character from the transient fault signals is an efficient way
仿真結(jié)果表明：利用小波包分析理論對電力系統(tǒng)故障暫態(tài)信號特征提取處理是行之有效的方法。 - Because neural networks have a very strong ability in pattern recognition , an nn classifier is used in the multi - parameter recognition of fault signals
充分利用了神經(jīng)網(wǎng)絡(luò)極強的模式分類能力，用神經(jīng)網(wǎng)分類器對故障信號進行多參量識別。 - Eventually , the filtering program which can successfully take the useful fault signal out from the background with strong noise is designed
對圖象數(shù)據(jù)的處理采用turboc + + 3 . 0作為編程工具，成功地設(shè)計了在強噪聲背景下將微弱的有用信號提取出來的濾波程序。 - On the base of mastery of fault laws and fault phenomenon , all arithmetic is sorted from the view of using what fault signal , and compared
在完整把握故障規(guī)律和故障現(xiàn)象的基礎(chǔ)上，從利用何種故障信號的角度對目前的各種算法進行了分類，并進行了分析比較。 - This method of feature extraction was used to collect over the fault signals with the gearbox of type dongfeng 81 - a walking tractor , and some satisfactory results were obtained
在實踐中應(yīng)用在對東風(fēng)81 - a型手扶拖機齒箱的故障信號進行特徵提取，取得了較好的效果。 - In this paper , lipschitz exponent method was applied to identify the singularity in power system fault signal analysis and a simulation example was given in the last chapter
對于電力系統(tǒng)故障信號的分析，本文應(yīng)用lipschitz指數(shù)對奇異點進行識別，并在論文中給出了仿真計算例子。 - Having good time - frequency localization character , and correctly identifying singularity point in fault signal , wavelet is the main analysis method in this paper
小波變換具有良好的時頻局部性，具有變焦距的特點，對故障信號中的奇異點能夠準(zhǔn)確識別，是論文中應(yīng)用的主要分析方法。 - The simulation results and the fault signal de - noising experiment of electrical machine show that the proposed method is better than the former ones with precision improved by 100 %
通過仿真計算和電機故障信號消噪表明，新的方法在電機故障信號消噪中比一般小波方法效果好，精度提高1倍以上。 - By digital simulation and detection of gearbox fault signal the detection effect of the novel bilinear time - frequency transform is validated for the transient components in complex signal
通過數(shù)字模擬實驗與齒輪箱故障信號檢測，驗證了新的雙線性時間頻率分布對復(fù)雜信號中瞬時分量的探測效果。 - In view of the superiority of wavelet transform to non - stationary signals , this paper focuses on how to detect and analyze the fault signals and the electric machine measurement signals by wavelet transform
考慮到小波變換處理非平穩(wěn)信號的優(yōu)越性，本文研究如何將小波變換應(yīng)用于電機故障診斷和電機測試中。
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