振擺信號 的英文怎麼說
中文拼音 [zhènbǎixìnháo]
振擺信號
英文
runout signal-
An automated de - noising algorithm based on the energy of wavelet packet not donoho ' s threshold algorithm is established. a gear feature vibration signal extraction method using the wavelet packet energy is proposed, which can separate gear meshing vibration, noise vibration and gear fault vibration signal from the original gearbox case vibration signal. basis pursuit ( bp ) algorithm is introduced into the filed of mechanical signal de - noising and feature extraction for the first time
第三章擺脫了donoho的閾值消噪思想，從能量的角度建立了基於小波包的自動消噪演算法；提出基於小波包能量分佈的齒輪故障特徵信號提取方法，可以將齒輪嚙合振動信號、干擾振動信號以及故障沖擊振動信號從原始齒輪振動信號中分離出來；首次將基追蹤消噪演算法引入到機械故障信號的消噪與特徵提取上，通過對齒輪故障信號的消噪，表明了它的有效性，並對影響該方法實際應用效果的因素進行了全面的分析，同時也指出了該方法存在的局限性。This system uses multicenter synchronization sampling and dma sampling control method, which has high sampling frequency. the system can realize displaying and analyzing in real time
該系統採用多通道同步採集，采樣頻率高，且採用dma控制方式，實時性強，能夠實現振動、擺度信號實時顯示和分析等功能。The method using wavelet packet analysis is proposed to extract fault information from vibration signal obtained from testing jig of tilting train. the vector comprised of the energy of signal in all spectrum bands is input to a feed forward neural network
利用小波包分析，將擺式車體試驗臺上採集到的振動加速度信號分解在相互獨立的頻帶之p內，各頻帶內的能量值形成一個向量，將其作為神經網路的輸入特徵向量， 。In light of the limitation of fast fourier transform ( fft ) for the method of traditional spectrum analysis to analyze the unsteady signal, wavelet and wavelet analysis are made for the typical unsteady process signal of starting up and shut down with the good characteristic of simultaneous localization in both the time and the frequency domains based on the field test on the vibration of two - row placed units in lijiaxia hydropower station, in which the signal is decomposed into different frequency band, and then the weak signal is caught and the dominant frequency is picked up for the analysis of the vibration source
摘要基於李家峽水電站雙排機組振動的現場試驗研究，並且針對傳統頻譜分析方法傅立葉變換（ fft ）對于非平穩信號已力不從心這一缺陷，利用小波分析方法在時域和頻域上同時具有良好的局部化性質，通過對開停機這一典型非平穩過程信號進行小波及小波包分析，將其分解到不同頻帶內，獲取微弱信息和提取優勢頻率，並對其作振源分析，得出開停機初始時刻因水流不穩均出現強烈的振動現象，且低頻段信號能量最大，開停機過程水流脈動壓力和尾水渦帶擺動是引起定子基礎振動的主要原因。Secondly, experiments were made to analyze the effect of the wheel damper, we used the system composed of a self - made pendulum, three acceleration sensors, a four - channel charge amplifier, a sound level meter, a signal collection analyzer and the dasp software
其次，對車輪阻尼器的降噪效果進行實驗分析。實驗採用激振單擺、加速度傳感器、電荷放大器、聲級計、智能信號採集處理分析儀以及dasp軟體組成的測試系統。分享友人