淹沒常數 的英文怎麼說
中文拼音 [yānmòchángshǔ]
淹沒常數
英文
submergence constant-
The science of language has large and close analogies in geological science, with its ceaseless evolution, its fossils, and its numberless submerged layers and hidden strata, the infinite go - before of the present
語言科學非常近似地質科學，因為它也處于永不停息的發展演變之中，也有自己的化石、有自己無數淹沒的巖層和深?的地層，以及無窮無盡的過去。After the reservoir sluices, the national highway 213 in this area will be submerged. so the national highway 213will increase its elevation to about 920 meters. in order to estimate the influence of the slope - sliding and bank - collapsing which caused by the reservoir sluices to the elevated highway, and to estimate possible emigration problem, stability analysis of landslide body no. l, 2, and 3 in i, ii area which located in bank accumulation body of zipingpu reservoir in national highway 213 is made by transfer coefficient method and 2 - d 3 - d fem in this paper
紫坪鋪水庫正常蓄水位高程877m ，水庫蓄水后將淹沒該段現國道213線，因此國道213線將改線抬高至920m高程附近，為正確評價因水庫蓄水造成的滑坡、塌岸對改線公路的影響，以及可能產生的移民問題，本文用傳遞系數法和二維、三維有限元方法對有可能失穩的213國道紫坪鋪庫區庫岸堆積體、區的1號、 2號、 3號滑坡體進行了穩定性分析。Land flooded with salt water usually becomes unsuitable for most types of cultivation, and scientists initially feared the tsunami would cause extensive, long - term problems
遭海水淹沒過的土地通常不利於大多數的耕種類型，因此科學家原本擔心海嘯將引發廣泛、長期的問題。A time - frequency analysis method is presented to solve paper machine press section bearing vibration signals of unstable and complication, applying wavelet function to the unstable signals for faulty bearing according to paper machine press section roll bearing characteristic, and process the vibration signals by means of decomposition and reconstruction, obtaining the vibration signals in different frequency bands, the statistic in frequency domain of relevant frequency bands is served as monitoring feature
摘要針對紙機壓榨部滾動軸承尺寸大響應弱、運轉速度低、低頻信號容易淹沒、調制源多、振動信號非平穩性等特點而導致常規的傅立葉分析診斷故障效果不佳的情況，提出了一種應用小波變換的時頻分析方法，對振動信號進行分解和重構處理，獲得了振動信號在不同的頻段的分量，提取相應特徵頻段重構分量的功率譜的頻域統計值作為特徵參數，從而實現對軸承故障診斷。The signals that indicate the faults of i. c. e. are usually being concealed by the normal working signal. the key work of condition monitoring and fault diagnosis should be finding out the fault feature parameters from disorder working signals
其內部的故障信號往往被淹沒在正常的工作信號中而難以發現，所以，如何在雜亂的工作信號中提取表徵故障的特徵參數，是狀態監測與故障診斷的關鍵所在。分享友人