Optimized Adhesion Control of Electric Locomotives Based on Wavelet Analysis and Cloud Model

2007 ◽  
Author(s):  
Jingchun Huang ◽  
Jian Xiao ◽  
Yi-feng Bai ◽  
Shuang-qing Liao
Keyword(s):  
Wavelet Analysis ◽  
Cloud Model ◽  
Adhesion Control

scholarly journals A hybrid wavelet analysis-cloud model data-extending approach for meteorologic and hydrologic time series

2015 ◽  
Vol 120 (9) ◽  
pp. 4057-4071 ◽  
Author(s):  
Dong Wang ◽  
Hao Ding ◽  
Vijay P. Singh ◽  
Xiaosan Shang ◽  
Dengfeng Liu ◽  
...  
Keyword(s):  
Time Series ◽  
Wavelet Analysis ◽  
Cloud Model ◽  
Model Data ◽  
Hydrologic Time Series

Classification of Acceleration Waveforms during Walking by Wavelet Transform

1997 ◽  
Vol 36 (04/05) ◽  
pp. 356-359 ◽  
Author(s):  
M. Sekine ◽  
M. Ogawa ◽  
T. Togawa ◽  
Y. Fukui ◽  
T. Tamura
Keyword(s):  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Center Of Gravity ◽  
Dynamic Responses ◽  
Sequential Data ◽  
Acceleration Signal ◽  
Continuous Dynamic

Abstract:In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body’s center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.

Study of Identification Method of Drunk Driving Based on Wavelet Analysis

ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Xing-jian Zhang ◽  
Xiao-hua Zhao ◽  
Jian Rong ◽  
Shi-li Xu
Keyword(s):  
Wavelet Analysis ◽  
Drunk Driving ◽  
Identification Method

Efficiency of application of the phase-chronometric method and neurodiagnostics for monitoring the degradation of rolling bearings during operation

2020 ◽  
pp. 43-50
Author(s):  
A.S. Komshin ◽  
K.G. Potapov ◽  
V.I. Pronyakin ◽  
A.B. Syritskii
Keyword(s):  
Life Cycle ◽  
Wavelet Analysis ◽  
Metrological Support ◽  
Rolling Bearing ◽  
Technical Condition ◽  
Measurement Information ◽  
Rolling Bearings ◽  
Vibration Diagnostics ◽  
Bearing Life ◽  
Alternative Approach

The paper presents an alternative approach to metrological support and assessment of the technical condition of rolling bearings in operation. The analysis of existing approaches, including methods of vibration diagnostics, envelope analysis, wavelet analysis, etc. Considers the possibility of applying a phase-chronometric method for support on the basis of neurodiagnostics bearing life cycle on the basis of the unified format of measurement information. The possibility of diagnosing a rolling bearing when analyzing measurement information from the shaft and separator was evaluated.

WAVELET ANALYSIS OF CLIMATE FACTORS VARIATIONS OF KHANTY-­MANSIYSK CITY

Human Ecology ◽  
2017 ◽  
pp. 33-37 ◽  
Author(s):  
O. N. Ragozin ◽  
V. I. Korchin ◽  
E. Yu. Shalamova ◽  
E. R. Ragozina
Keyword(s):  
Wavelet Analysis ◽  
Climate Factors

Wavelet analysis in neurodynamics

2012 ◽  
Vol 182 (9) ◽  
pp. 905-939 ◽  
Author(s):  
A.N. Pavlov ◽  
A.E. Hramov ◽  
A.A. Koronovskii ◽  
Evgenija Yu. Sitnikova ◽  
Valerii A. Makarov ◽  
...  
Keyword(s):  
Wavelet Analysis

Introduction into wavelet analysis for physicists

1997 ◽  
Vol 167 (10) ◽  
pp. 1112
Author(s):  
Yulii A. Danilov
Keyword(s):  
Wavelet Analysis
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