Traditional distribution network fault location methods often cannot be effectively applied for the structure of the branch in complex distribution network. A new accurate fault location for the single-phaseground fault in complex distribution network with structure of the branch based on Hilbert-Huang transform was proposed in this paper. First, the distribution network was modeled. The faults...

Hilbert-Huang transform (HHT) is a novel signal processing method which can efficiently handle nonstationary and nonlinear signals. It contains two key parts: Empirical Mode Decomposition (EMD) and Hilbert transform. EMD decomposes signals into a complete series of Intrinsic Mode Functions (IMFs), which capture the intrinsic frequency components of original signals. Hilbert transform is adopted...

In India, the frequency of occurrence of earthquakes is more, especially in Himalaya, northeast India and Gujarat region. Therefore it becomes essential to estimate the seismic inputs for such earthquakes to reduce the structural damage. From engineering point of view, the most sought-after data is the strong motion accelerograms (SMA), recorded in the places where earthquake has occurred. The ...

The objective of this study was to determine the quality of comfort level for passengers during in-coach rail travel with reference to the data collected using 3 axis accelerometer and analog data logger. The data module was designed for the purpose of sensing, measuring and monitoring of vibrations felt by the commuters on the rail tracks. Input data in terms of 3 axis is analysed using Hilber...

The Shuangjiangkou hydropower station in China has complex geological conditions with high situ stress. During the tunnel excavation, rockbursts occurred frequently, which seriously affected construction progress. Microseismic (MS) monitoring technology was used to explore rock MS activities predict rockbursts. system can capture a large number of signals. Based on Hilbert–Huang transform (HHT)...

The time–frequency characteristics of electromagnetic radiation (EMR) waveform induced by rock fracture are very important to the monitoring and early–warning using EMR method for mine rockburst. empirical wavelet transform (EWT), as a analysis method, has advantages clear theoretical basis, convenient calculation, no modal aliasing. To apply EWT field analysis, operation Fourier axis segmentat...

Because roller element bearings (REBs) failures cause unexpected machinery breakdowns, their fault diagnosis has attracted considerable research attention. Established fault feature extraction methods focus on statistical characteristics of the vibration signal, which is an approach that loses sight of the continuous waveform features. Considering this weakness, this article proposes a novel fe...

Effective fault diagnosis for cascaded H-bridge multilevel inverter (CHMLI) can reduce failure rate and prevent the unscheduled shutdown. Nevertheless, traditional signal-based feature extraction selection methods show poor distinguishability insufficient features in a one-dimensional space. The shallow learning models are prone to fall into local extremum, slow convergence speed overfitting. T...

ABSTRACT: Hyperspectral images, which contain rich and fine spectral information, can improve land use/cover classification accuracy, while traditional statistics-based classifiers cannot be directly used on such images with limited training samples. The commonly used method to solve this problem is dimensionality reduction, and this can be done by feature extraction for hyperspectral images. T...

We analyze the gravitational wave signals with a model-independent time-frequency analysis, which is improved from Hilbert-Huang transform (HHT) and optimized for characterizing frequency variability on map. Except regular HHT algorithm, i.e., obtaining intrinsic mode functions ensemble empirical decomposition yielding instantaneous frequencies, we propose an alternative algorithm that operates...