Dejun Dai

Radiological impact in Korea following the Fukushima nuclear accident

An overview of Fukushima radionuclides measured in the northern hemisphere

Comparison of the Chernobyl and Fukushima nuclear accidents: A review of the environmental impacts

A review on empirical mode decomposition in fault diagnosis of rotating machinery

Rolling bearing fault diagnosis based on LCD–TEO and multifractal detrended fluctuation analysis

Empirical mode decomposition, an adaptive approach for interpreting shaft vibratory signals of large rotating machinery

Research on the intrinsic mode function (IMF) criterion in EMD method

Gondwana dispersion and Asian accretion: Tectonic and palaeogeographic evolution of eastern Tethys

Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery

A roller bearing fault diagnosis method based on EMD energy entropy and ANN

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

Tectonic evolution of the early Mesozoic blueschist‐bearing Qiangtang metamorphic belt, central Tibet

Vibration-based damage detection in composite wingbox structures by HHT

Cosine window-based boundary processing method for EMD and its application in rubbing fault diagnosis

A revised Hilbert–Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure

Hilbert transform in vibration analysis

Applications of machine learning to machine fault diagnosis: A review and roadmap

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

Application of support vector regression machines to the processing of end effects of Hilbert–Huang transform

Beyond one-step-ahead forecasting: Evaluation of alternative multi-step-ahead forecasting models for crude oil prices

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

Variable cosine windowing of intrinsic mode functions: Application to gear fault diagnosis

Predicting the spread of nuclear radiation from the damaged Fukushima Nuclear Power Plant

Boundary-processing-technique in EMD method and Hilbert transform