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)...

Wearable sensors-based human activity recognition introduces many useful applications and services in health care, rehabilitation training, elderly monitoring and many other areas of human interaction. Existing works in this field mainly focus on recognizing activities by using traditional features extracted from Fourier transform (FT) or wavelet transform (WT). However, these signal processing...

Combing the stress wave signals with Synthetic Aperture Focusing Technique (SAFT) to inspect and image the interior defect of concrete structural has shown its feasibility by some researchers. However, some bright zones displayed in the image plot are not corresponding to the Rayleigh waves and reflection signals from the bottom surface of the structural component or the embedded defect. This t...

In order to solve the problem that dual Mach Zehnder (M-Z) interferometer system is easily affected by external environmental noise, a data signal-processing scheme based on Hilbert–Huang transform (HHT) proposed achieve high-precision location with distributed optical fibers. The polarization compensation module has built-in Sagnac which used stabilize state of interferometer. eigenmode functi...

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...

The fault detection method (FDM) plays a crucial role in controlling and operating microgrids (MGs), because it allows for systems to rapidly isolate restore faults. Due the fact that MGs use inverter-interfaced distributed production, conventional FDMs are no longer appropriate they dependent on substantial currents. This study presents smart FDM based Hilbert–Huang transform (HHT) deep neural...

STUDY OBJECTIVES To validate the feasibility of the Hilbert-Huang transform (HHT) based cardiopulmonary coupling (CPC) technique in respiratory events detection and estimation of the severity of apnea/hypopnea. METHODS The HHT-CPC sleep spectrogram technique was applied to a total of 69 single-lead ECG signals downloaded from the Physionet Sleep Apnea Database. Sleep spectrograms generated by...

Since blood pressure is a significant parameter to examine people’s physical attributes and it is useful to indicate cardiovascular diseases, the measurement/estimation of blood pressure has gained increasing attention. The continuous, cuff-less and non-invasive blood pressure estimation is required for the daily health monitoring. In recent years, studies have been focusing on the ways of bloo...