振動感閾 的英文怎麼說
中文拼音 [zhèndònggǎnyù]
振動感閾
英文
thresholds of vibration sensation-
So such kind of diseases can be forecasted through qst. first, the physiological basis of vpt is introduced. then the thesis discusses in detail the psychophysical knowledge of the threshold detecting method, especially the transformed - rule up and down method and forced - choice method
本文首先介紹了定量振動感覺測試系統的生理學基礎,接著對閾值檢出演算法的心理物理學基礎進行了詳細的敘述,著重介紹了系統採用的變形階梯法同強迫選擇法相結合的演算法。Mechanical vibration - vibrotactile perception thresholds for the assessment of nerve dysfunction - part 1 : method of measurement at the fingertips
機械振動.評定神經功能障礙用振動感知閾值.第1部分:指尖測量法Mechanical vibration - vibrotactile perception thresholds for the assessment of nerve dysfunction - part 2 : analysis and interpretation of measurements at the fingertips
機械振動.評定神經官能紊亂用振動感知閾值.第2部分:指尖處測量的分析和解釋Then, current perception threshold system is discussed in details including three main aspects : physiological background, theory of udtr and forced choice method and experiment basis providing the evidence for us to substitute heating, cooling and vibration signals with 5hz, 250hz, 2000hz sine current signals, respectively. the most important part of this thesis is the design of the system
然後詳細論述了定量電流感覺測量系統的理論基礎,包括三個方面:生理學基礎;閾值檢出演算法( udtr和forcedchoice方法)的理論基礎;實驗基礎,即大量實驗表明, 5hz , 250hz和2000hz的正弦交流電流刺激分別可以代替加熱,致冷和振動信號。Then the de - lay differential method of detecting the milling cutter breakage is put forward according to the above research work and the changing characteristics of power signal and vibration displacement signal when the tool breakage occurs, the monitoring stategy of sensors fusion based on the artificial neural network is put forward. the monitoring system of milling cutter breakage based on the information fusion of the power signal and vibration displace - ment signal has been developed. the diff culty in giving a dectecting threshold due to the changeable character of character of cutting condition has been solved, and a good reliability is ensured over a wide range of conditions
在上述研究工作的基礎上,提出了基於人工神經網路用於多傳感器信息融合的監測策略,開發研製了以機床主電機功率信號和主軸振動位移信號特徵參量融合的銑刀破損監測實驗系統,解決了銑削過程中切削條件多變導致監測閾值難以設置的難題,保證了在較寬的工作范圍內具有較高的識別準確率。分享友人