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The developed model is based on wavelet packet decomposition, entropy and neural network.
In this paper, we developed a new scheme based on wavelet packet decomposition and hidden Markov modeling (HMM) for tracking the severity of bearing faults.
In a previous study [1], a damage indicator, ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯WPECR, was proposed based on wavelet packet transform analysis to identify free-spanning damage along subsea pipelines.
In this study, a novel approach based on Wavelet Packet Transform is presented to measure Root-Mean-Square (RMS) value and phase angle of the fundamental harmonic.
In this study, a new approach which based on wavelet packet transform for power calculations of both fundamental and all harmonics of signals is proposed.
This paper proposes a new feature selection method based on wavelet packet algorithm, and applies SVM (support vector machine) for quantitative classification on the ultrasonic echo data generated by cracks in Laser ultrasonic experiment.
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Furthermore, methods based on wavelet per packet transform are more effective than algorithms employing discrete WT.
The proposed method of limits detection based on wavelet per packet transform outperforms all others automated methods.
This paper proposes a new hybrid method for the multi-step wind speed forecasting based on Wavelet Domain Denoising, Wavelet Packet Decomposition, Empirical Mode Decomposition, Auto Regressive Moving Average, Extreme Learning Machine and Outlier Correction Method.
Englehart et al. [ 11– 13] extracted the feature set of SEMG signals based on wavelet transform and wavelet packet transform to improve the classification accuracy.
In Section 2, the criterion and procedure of anomaly detection are deduced base on wavelet packet transform and statistical method.
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