Spectral estimation, and corresponding time‐frequency representation for nonstationary
signals, is a cornerstone in geophysical signal processing and interpretation. The last 10–15 …

The prognostic and health management (PHM) of lithium-ion batteries has received
increasing attention in recent years. The remaining useful life (RUL) prediction and state of …

Wind speed is the major factor that affects the wind generation, and in turn the forecasting
accuracy of wind speed is the key to wind power prediction. In this paper, a wind speed …

The stability operation and real-time control of the integrated energy system with distributed
energy resources determines the higher and higher requirements for the accuracy of solar …

This paper uses a mixture model that Long Short-Term Memory (LSTM) combines with
Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) to …

In-situ process monitoring of additively manufactured parts has become a topic of increasing
interest to the manufacturing community. In this work, acoustic measurements recorded …

This paper reviews the development and application of HHT in the field of SHM in the last
two decades. The challenges and future trends in the development of HHT based …

Wind energy, which is stochastic and intermittent by nature, has a significant influence on
power system operation, power grid security and market economics. Precise and reliable …

Landslide displacement prediction can enhance the efficacy of landslide monitoring system,
and the prediction of the periodic displacement is particularly challenging. In the previous …

Traffic flow prediction with high accuracy is definitely considered as one of most important
parts in the Intelligent Transportation Systems. As interfering by some external factors, the …