Rotating machinery covers a broad range of mechanical equipment and plays a significant
role in industrial applications. It generally operates under tough working environment and is …

Accurate and reliable solar irradiance forecasting can bring significant benefits for managing
electricity generation and distributing modern smart grid. However, the characteristics of …

We present a generic extension of variational mode decomposition (VMD) algorithm to
multivariate or multichannel data. The proposed method utilizes a model for multivariate …

In bearing fault diagnosis, multichannel data can contain more abundant and complete fault
information to alleviate the influence of accidental factors in a single channel. To fully …

Despite empirical mode decomposition (EMD) becoming a de facto standard for time-
frequency analysis of nonlinear and non-stationary signals, its multivariate extensions are …

This article addresses data-driven time-frequency (TF) analysis of multivariate signals, which
is achieved through the empirical mode decomposition (EMD) algorithm and its noise …

Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also
has a great interest to investors and energy policy maker as well as government. Literature …

This paper explores the advanced properties of empirical mode decomposition (EMD) and
its multivariate extension (MEMD) for emotion recognition. Since emotion recognition using …

The multivariate empirical mode decomposition (MEMD) algorithm has been recently
proposed in order to make empirical mode decomposition (EMD) suitable for processing of …

Rolling bearings are widely used in rotary machinery systems. The measured vibration
signal of any part linked to rolling bearings contains fault information when failure occurs …