fault signaling造句
例句與造句
- In spite of the limited samples , the simulation result shows that using wavelet analysis to separate the character from the transient fault signals is an efficient way
盡管本論文中選擇的仿真算例針對的情況有限，但是仿真結(jié)果表明：利用小波分析理論對電力系統(tǒng)故障暫態(tài)信號進行特征提取處理是行之有效的方法。 - However , wavelet analysis has the excellent time - frequency local performance , it can detect the different frequency components of the fault signals by its adjustable time - frequency window
小波變換作為一種時頻分析方法，它在時頻域都具有表征信號局部特征的能力，能通過時頻窗的靈活變換宋突出信號的不同頻率成分。 - One complete set of the fault signal ' s gathering and analyzing instrument is constructed . by repeatedly experiments the author concluded that the default signal in different stage has different characteristic
通過組建的一整套轉(zhuǎn)子碰摩故障信號采集、分析系統(tǒng)，經(jīng)過大量實驗，得到不同階段的碰摩故障信號特征的區(qū)別。 - Secondly , because wavelet analysis can change the time and frequency windows according to the variation of signals " frequency , it can analyze the singularity of fault signals , and then confirm the accurate fault time efficiently
接著，文章利用小波變換“變焦距”的性質(zhì)，對故障信號的奇異點進行分析，確定故障時刻。 - Using fft and wavelet package analysis theory , the abrupt fault signals detection for power systems on amplitude and frequency is also mentioned to advance the wavelet mra signal detection approach . 2
結(jié)合fft技術(shù)，利用小波包分析給出了一種電力信號幅值突變和頻率突變故障的檢測方法，改善了小波多分辨分析信號檢測方法的不足。 - It's difficult to find fault signaling in a sentence. 用fault signaling造句挺難的
- As the fault signals are non - stationary transient ones , the traditional signal analysis methods , such as fourier transform , are not so efficient and useful for the fault signal detection
電機發(fā)生故障，故障信號中往往含有大量的時變、短時沖擊、突發(fā)性質(zhì)的成分，傳統(tǒng)的信號分析方法如fourier變換無能無力，不能有效地提取出電機的故障特征。 - The method can tell indispensable fault signals from dispensable ones and discover the inherent redundancy of alarm signal set . in a word , the method can realize effective fault diagnosis when the alarm signals are imperfect
這種方法揭示了故障信息集合內(nèi)在的冗余性，能夠區(qū)分關(guān)鍵信號和非關(guān)鍵信號，可以在不精確、不完備的警報信息模式下達到正確診斷的目的。 - Throughout fault diagnosis development we could see that it is essential to have signal preprocessing and fault signal analysis in order to obtain accurate result during fault diagnosis while methods to implement are just as important
縱觀故障診斷的發(fā)展歷程，要想取得好的故障診斷結(jié)果，數(shù)據(jù)預(yù)處理與故障數(shù)據(jù)的分析是相當(dāng)重要的，而要取得好的分析效果，所采用的方法也是很重要的。 - In chapter 1 , firstly , fault feature extraction methods and their characteristics in fdd are introduced briefly , research progress , existing problems and application prospects on the fault signal processing with wavelet are stated in detail
第一章概述了故障檢測與診斷技術(shù)中故障特征提取方法的研究進展、存在問題及應(yīng)用前景。介紹了異步電機及滾動軸承故障診斷的國內(nèi)外研究現(xiàn)狀。 - The amounts of fault signal records are increasing rapidly with the elevation of fault monitoring level , which leads to troubles for data transmission and storage , therefore the research of data compression is paid more and more attention
摘要隨著對電力系統(tǒng)故障過程監(jiān)控水平要求的逐步提高，急劇增大的故障錄波器數(shù)據(jù)量給數(shù)據(jù)傳輸和儲存帶來了很大的困難，因此數(shù)據(jù)壓縮也越來越受到人們的關(guān)注。 - With the cyclostationarity property of rotating machinery fault signal , empirical mode decomposition ( emd ) is applied to the analysis of vibration signal of rotating machine and the issue of interferential items in the method of cyclostationarity is figured out
通過理論推導(dǎo)、仿真實驗、真實數(shù)據(jù)驗證，以及和原有方法進行比較，表明經(jīng)驗?zāi)Ｊ椒纸饴?lián)合循環(huán)平穩(wěn)分析方法能夠有效地識別故障特征，并避免干擾項。 - The application of wt to power system fault signal is also discussed in the thesis . the auther also studies the application of statistics analyse theory . spectral analysis and system identify method can be used to analyse noise energy distribution and damp characteristics of bus capacitance
研究了小波變換和多分辨率結(jié)構(gòu)下mallat小波分解算法分析故障暫態(tài)信號的原理和方法，用這一方法研究了故障信號的特點，性質(zhì)。 - And a leveled systemic fault diagnosis model is established lastly . by laboring stretch - bending former system function demands , its condition monitoring contents and hardware testing platform are established . also , fault signals acquisition , examination and process methods are researched as well
在詳細分析了轉(zhuǎn)臺式拉彎機液壓系統(tǒng)的組成結(jié)構(gòu)、工藝特點和故障形式及特點的基礎(chǔ)上，確立了液壓系統(tǒng)狀態(tài)監(jiān)測的內(nèi)容，組建了系統(tǒng)測試的硬件平臺。 - After the rigorous study of the theory , using the c + + builder5 . 0 as the developing tool , a vector signals analysis system was visualized , which based on the mode of browser / server and can run on the internet with this system , some real fault signals were analyzed and the value of vector spectrum was approved from the study of the vector spectrum theory and its applications , a conclusion can be affirmed : the vector spectrum has high practical value and a developing future
在理論探討的基礎(chǔ)上，應(yīng)用c + + builder5 . 0構(gòu)造了基于browser / server模式的矢量信號遠程分析系統(tǒng)，并選取實際的矢量故障信號進行了傳統(tǒng)分析方法、矢譜、全譜和全息譜等分析方法的比較，在對比中體現(xiàn)了矢譜技術(shù)的優(yōu)越性。通過本文的理論探討和矢譜實際應(yīng)用的研究可以證實：矢譜是一項具有廣闊發(fā)展前景和較高實用價值的技術(shù)。 - Aiming at the nonplacidity of the data of the system and paroxysmality of fault signal , the modern wavelet theory is used to dispose the signal of the system , which includes signal sampling , signal denoise , signal detect , sect signal detection , minimal signal detection , signal compress
針對水電機組監(jiān)測數(shù)據(jù)的非平穩(wěn)性、故障信號具有突變性的特性，應(yīng)用現(xiàn)代小波分析理論對機組監(jiān)測和診斷系統(tǒng)的信號進行處理，包括信號采樣、信噪分離、奇異信號的提取、分段信號的提取與分析、弱信號的提取、信號壓縮。