Journal ArticleDOI
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Norden E. Huang,Zheng Shen,Steven R. Long,Man-Li C. Wu,Hsing H. Shih,Quanan Zheng,Nai-Chyuan Yen,C. C. Tung,Henry H. Liu +8 more
TLDR
In this paper, a new method for analysing nonlinear and nonstationary data has been developed, which is the key part of the method is the empirical mode decomposition method with which any complicated data set can be decoded.Abstract:
A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the empirical mode decomposition method with which any complicated data set can be dec...read more
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Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: A review
TL;DR: In this article, the authors reviewed various aspects of recent research in decoupling diagnosis of hybrid faults in gear transmission systems, and discussed the techniques used for gearbox hybrid faults decoupled.
Journal ArticleDOI
Passive non-linear targeted energy transfer and its applications to vibration absorption: A review
Young S. Lee,Alexander F. Vakakis,Lawrence A. Bergman,D. M. McFarland,Gaëtan Kerschen,Francesco Nucera,Stylianos Tsakirtzis,Panayotis Panagopoulos +7 more
TL;DR: The concept of TET may be regarded as contrary to current common engineering practice, which generally views nonlinearities in engineering systems as either unwanted or, at most, small perturbations of linear behaviour as discussed by the authors.
Journal ArticleDOI
A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction.
Zhongshan Yang,Jian Wang +1 more
TL;DR: A new air quality monitoring and early warning system, including an assessment module and forecasting module and a novel hybridization model combining complementary ensemble empirical mode decomposition, a modified cuckoo search and differential evolution algorithm, and an Elman neural network is proposed to improve the forecasting accuracy of six main air pollutant concentrations.
Journal ArticleDOI
Spontaneous Brain Activity as a Source of Ideal 1/f Noise
Paolo Allegrini,Danilo Menicucci,Remo Bedini,Leone Fronzoni,Angelo Gemignani,Angelo Gemignani,Paolo Grigolini,Bruce J. West,Paolo Paradisi +8 more
TL;DR: It is argued that the time interval between two consecutive renewal events driving the coincidences has a waiting-time distribution with inverse power-law index mu approximately 2 corresponding to ideal 1/f noise and supports the conviction that 1/ f noise is an optimal communication channel for complex networks as in art or language.
Journal ArticleDOI
An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system
TL;DR: The proposed wind speed forecasting method has better forecasting performance than the traditional Autoregressive Integrated Moving Average (ARIMA) model, the Persistent Random Walk Model (PRWM) and the Back Propagation (BP) neural networks and the proposed method has satisfactory performance in both of the accuracy and the time performance.
References
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