hht 中文意思是什麼

hht 解釋
鴻合
  1. Application of hht for modal parameter identification to civil structures

    方法在結構模態參數識別中的應用
  2. In our system, firstly, we pre - process envelope image, introduce basic method of two - value and noise ' s filtering accordingly, and present a way of deskew based on hht algorithm

    在系統中，首先對信封圖象進行了預處理並給出了相應的二值化、噪聲濾除方法，提出一種基於hht的傾斜校正的方法。
  3. Hht - based health monitoring of wingbox section

    的機翼盒段的健康監控
  4. Different characteristic parameters fitting for different damage detection methods are extracted from the filtered sensors signal by hht technology. at last, the location and the degree of damage in the composite material can be determined by using defferent damage detection methods. this study adopts active detection technique based on lamb wave to monitor damage in composite materials

    並且針對每種損傷定位方法選擇有效的描述結構損傷的特徵參數，利用四種不同的方法對結構進行損傷定位和損傷程度的識別，通過實驗證明，這四種損傷識別方法均能有效準確的識別出損傷位置和損傷程度。
  5. Hht is more effective than experimental modal analysis and can give a more clear physically meaningful interpretation to the structure response

    與模態分析方法相比， hht分析的結果準確穩定，變化趨勢清晰明顯而且具有明顯的物理含義。
  6. In the recent years, as the proportion of mechanic industry in nation economy increases, the requirement for safe operation of mechanic equipment is higher and higher. due to that all kinds of technology are progressively applied to mechanic equipment fault and diagnosis, such as signal processing, pattern recognition, etc., mechanical equipment fault and diagnosis technology has been developed rapidly all over the world. the reciprocating pump as a part of mechanic equipment field takes up very important station in production department, such as the petrochemical industry. because its applications are very widely, making researchs about its fault and diagnosis has important meaning. though people have already made out some researchs and obtained some research results, but the total diagnosis level is not still very high. based on former research results, according to the strong non - stationary characteristic of the pump valve signal of the reciprocating pump, this text introduces hilbert - huang transform ( abbreviated as hht ), and diagnosed the pump valve faults of the reciprocating pump well

    雖然人們已對其開展了不少研究並取得了一些研究成果，但總的診斷水平還不是很高。本文在基於前人研究成果的基礎上，根據往復泵泵閥信號的強非平穩特性，引入了希爾伯特-黃變換（簡稱hht ） ，對往復泵泵閥較好地進行了診斷。往復泵由於其結構復雜，激勵源多，故其信號為強非平穩信號，對其進行故障特徵提取和診斷比較困難，所以本文主要研究了往復泵泵閥振動信號的特徵提取方法。
  7. To solve this problem, some researches on denoising for the nonstationary and noisy - strong signal are carried out in this paper. combining hilbert - huang transform ( hht ) which has been proved to be more valid in the aspect of time - frequency analysis, with mature wavelet transform ( wt ) threshold theory, an emd - based wavelet threshold denoising algorithm is presented

    針對這個問題，本文也開展了對信噪比較低的含噪非平穩信號的去噪研究工作，並將具有比小波變換更強時頻分析能力的希爾伯特?黃變換（ hht ）與成熟的小波閾值理論相結合，提出基於emd的小波閾值去噪演算法。
  8. First of all, the emd - based wavelet threshold denoising algorithm is apllied to denoise noisy structural response data to reduce the effect resulting from noise. during the process of the empirical mode decomposition ( emd ), the two boundaries of the response signal are processed with semi - periodical ? semi - symmetrical method. subsequently, hilbert - huang transform ( hht ) is used in identifying structural intrinsic frequency

    這套技術用以解決實際工程應用中遇到的在信噪比較低情況下通過結構的響應信號來進行結構損傷識別問題，即先用基於emd的小波閾值去噪演算法對含噪結構響應進行去噪處理，以有效降低噪聲影響（在去噪的emd處理過程中，對信號的邊界採用「半周期半對稱」延括演算法來抑制邊界誤差） ，然後再用希爾伯特?黃變換（ hht ）進行結構的固有頻率識別，最後計算出結構剛度。
  9. Because reciprocating pump has complicated structure and more exciters, so its signal is a strong non - stationary signal, and carrying out fault feature extraction and diagnosis is very difficult to it, this text mainly researches on featute extraction of reciprocating pump ’ s valve vibration signal. this text introduces hht that huang put forward, it is a kind of signal processing method that suits for dealing with the stationary signal, and suits for non - stationary signal also. although the hilbert - huang transform ( hht ) is an effective tool processing the non - stationary signal, the hht based on emperical mode decomposition ( abbreviated as emd ) algorithm which adopts the cubic spline interpolation could n ' t acquire accurate characteristics for the strong non - stationary signals in that the spline produces an accurate result only under the condition that the data consists of values of a smooth function

    本文引入了huang等人提出的hht ， hht是一種既適合於處理平穩信號也是一種適合於處理非平穩信號的信號處理方法。盡管希爾伯特-黃變換（ hht ）是處理非平穩信號的有效工具，但基於經驗模態分解（簡稱emd ）的hht由於採用三次樣條插值而不能準確提取強非平穩信號的特徵，因為三次樣條插值只有在數據由光滑函數值構成的情況下才能產生精確的結果。為了解決這個問題，本文提出了基於改進的emd演算法，即採用分段三次hermite插值多項式（ pchip ）作為極值包絡的方法。
  10. Secondly, hht that is one of the time - frequency representations ( tfrs ) is introduced in aspects of not only the theoretical analyses but also the programmer in matlab, including how to compute the instantaneous frequency, how to process the emd and how to dispose hilbert spectrum, after that bring forward the resolve to the problems during the processing of emd

    其次，介紹了hht時頻分析方法，包括理論分析與演算法的matlab編程。其中從瞬時頻率求解、經驗模式分解和hilbert譜繪制幾個方面分析了hht ，同時提出了經驗模式分解過程中邊緣處理和固有模態準則確定中存在的問題，並給出了解決方法，改善了hht的分析效果。
  11. The study state of art and development trend of structural damage identification research is simply summarized in this paper. hilbert - huang transform ( hht ) is applied to the damage identification and intrinsic frequency confirmation of time - variable structures. furthermore, a kind of inverse calculation is presented to calculate structural stiffness. this method can solve three main problems : the time that damage occurred, the location and the degree of damage

    本文簡要總結了結構損傷識別領域的研究現狀和趨勢，圍繞損傷引起固有頻率變化這個特徵，將希爾伯特?黃變換（ hht ）應用於時變結構的損傷識別和損傷前後固有頻率確定上，並結合牛頓迭代法，對結構剛度進行反演計算，從而解決結構損傷識別領域所關注的三個主要問題:損傷發生時間、損傷位置以及損傷的程度。
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