Evaluation of the Bolted Joints Fault of Aircraft Structure with Flexible Analytic Wavelet Transform

2018 ◽  
Author(s):  
Yishui Wei ◽  
Wenhao Zong ◽  
Chunlin Zhang ◽  
Sijawal Muhammad ◽  
Fangyi Wan
Keyword(s):  
Wavelet Transform ◽  
Bolted Joints ◽  
Aircraft Structure ◽  
Analytic Wavelet

Automatic focal and non-focal EEG detection using entropy-based features from flexible analytic wavelet transform

2020 ◽  
Vol 57 ◽  
pp. 101761 ◽  
Author(s):  
Yang You ◽  
Wanzhong Chen ◽  
Mingyang Li ◽  
Tao Zhang ◽  
Yun Jiang ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Analytic Wavelet

Weak fault signature extraction of rotating machinery using flexible analytic wavelet transform

2015 ◽  
Vol 64-65 ◽  
pp. 162-187 ◽  
Author(s):  
ChunLin Zhang ◽  
Bing Li ◽  
BinQiang Chen ◽  
HongRui Cao ◽  
YanYang Zi ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Rotating Machinery ◽  
Signature Extraction ◽  
Analytic Wavelet ◽  
Weak Fault

scholarly journals Quantitative feature analysis of continuous analytic wavelet transforms of electrocardiography and electromyography

2018 ◽  
Vol 376 (2126) ◽  
pp. 20170250 ◽  
Author(s):  
Mark P. Wachowiak ◽  
Renata Wachowiak-Smolíková ◽  
Michel J. Johnson ◽  
Dean C. Hay ◽  
Kevin E. Power ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Continuous Wavelet Transform ◽  
Wavelet Transforms ◽  
Continuous Wavelet ◽  
Theme Issue ◽  
Practical Applications ◽  
Time Frequency ◽  
New Family ◽  
Physiological Processes ◽  
Analytic Wavelet

Theoretical and practical advances in time–frequency analysis, in general, and the continuous wavelet transform (CWT), in particular, have increased over the last two decades. Although the Morlet wavelet has been the default choice for wavelet analysis, a new family of analytic wavelets, known as generalized Morse wavelets, which subsume several other analytic wavelet families, have been increasingly employed due to their time and frequency localization benefits and their utility in isolating and extracting quantifiable features in the time–frequency domain. The current paper describes two practical applications of analysing the features obtained from the generalized Morse CWT: (i) electromyography, for isolating important features in muscle bursts during skating, and (ii) electrocardiography, for assessing heart rate variability, which is represented as the ridge of the main transform frequency band. These features are subsequently quantified to facilitate exploration of the underlying physiological processes from which the signals were generated. This article is part of the theme issue ‘Redundancy rules: the continuous wavelet transform comes of age’.

Correction to "Sensorless Speed Measurement of AC Machines Using Analytic Wavelet Transform"

2004 ◽  
Vol 40 (1) ◽  
pp. 202-202
Author(s):  
J.M. Aller ◽  
T.G. Habetler ◽  
R.G. Harley ◽  
R.M. Tallam ◽  
S.B. Lee
Keyword(s):  
Wavelet Transform ◽  
Ac Machines ◽  
Speed Measurement ◽  
Analytic Wavelet
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