辨閥 的英文怎麼說
中文拼音 [bānfá]
辨閥
英文
flavalve-
Genetic algorithm is used to optimize the parameters of pid controller that is used to control the plant lon ( local operating network ) is designed to control vav air - conditioning system. by this means the static pressure control and minimum total supply air volume control are experimented. the paper analyzes the coupling among loops, the whole system ' s stability and energy saving effect under the two control methods
針對目前變風量空調系統的模型都是用機理建模方法建立的情況，本論文用最小二乘法對機組部分進行系統辨識，建立了水閥?送風溫度、變頻風機?靜壓兩個迴路的模型，經驗證比較接近實際系統；採用遺傳演算法對pid控制器的參數進行尋優，尋優結果令人滿意；設計了變風量空調系統的lon控制網路，以此為實現手段，進行了定靜壓控制和最小總送風量控制，並在兩種控制方式下，分析了各個迴路的耦合情況、兩種控制方式的穩定性和節能效果。A on - identify model of proportional valve pressure controlled system was established though analyzing the configuration of dbetr type proportional pressure relief valve firstly, and then using classical step response method to identify system parameter, a practicable system simple model was deduced at last
摘要從dbetr型比例壓力溢流閥結構出發，先建立比例閥控制壓力系統的待辨識模型，再採用經典的階躍響應法辨識系統參數，得到工程上適用的系統簡化模型。The identification method is studied and the transfer function of the automobile air brake unloading valve ' s test system is acquired ; the pressure balance time of the test system of the unloading valve is studied by the increasing pressure in different speed and scope
本文主要研究內容是汽車氣制動卸荷閥性能測試系統的傳遞函數的辨識方法及不同的加壓方式對系統壓力平衡時間的影響並進行了相應的試驗驗證。At last, according to the experimental data of dynamic characteristics, mathematical models of jet pipe servo valve with magnetic fluid and without magnetic fluid which are used in the experiment are identified by using the method of system identification
最後依據動態特性實驗數據，運用系統辨識方法辨識出實驗使用的射流管伺服閥在未添加磁流體和添加磁流體兩種情況下的實際數學模型，為以後進一步進行模擬、參數優化等研究打下了基礎。Besed on wavelet " s well localized characterizes in time frequency and space frequency, we can exactly depict events of nonnoise by decomposing to signal using binary - wavelet transform. for events of noise, local max can be found at singular points of signal by using wavelet transform norm of signal, so adopting multiscale wavelet analysis the maximal point of wavelet transform norm, which risen by the noise, with increasing of scale, which rien by the fault appeared. gived a properly threshold and compared the relation of data that have been transformed not only find the fault in the low noise signal but also resume the signal by filtering noise, which have good power of examining singular signal being unexpectedly change
對于噪聲中的事件點，利用信號的小波變換的模在信號的突變點取得局部最大值，採用多尺度（多分辨）小波分析，則隨著尺度的增大，噪聲引起的小波變換模的極大值點迅速減少，而故障引起的小波變換模的極大值點得以顯露，我們給出一個適當的閥值，比較閥值和變換后數據的關系，不但可以在低信噪比的信號中監測到故障信號，而且可以濾去噪聲恢復原信號，對突變的奇異性信號具有良好的監測能力，能夠有效地找出噪聲中的事件點。分享友人