In the past few decades, global navigation satellite system (GNSS) technology has been
widely used in structural health monitoring (SHM), and the monitoring mode has evolved …

As a clean and renewable energy source, wind power is of great significance for addressing
global energy shortages and environmental pollution. However, the uncertainty of wind …

Forecasting energy consumption is not easy because of the nonlinear nature of the time
series for energy consumptions, which cannot be accurately predicted by traditional …

Wheelset bearings are among the crucial elements of bogie frames used in high-speed
trains. Wheelset-bearing fault detection can actively reduce or preclude safety-related …

A wheelset-bearing system is one of the most critical subsystems in a high-speed train, and
the detection and diagnosis of its compound faults have important sense to the service …

In this paper, the hybrid model of empirical mode decomposition and multiple-kernel
relevance vector regression algorithm (EMD-MkRVR) is presented for wind speed …

Deployable structures have been widely used in on-orbit servicing spacecrafts, and the
vibration properties of such structures have become increasingly important in the aerospace …

A wheelset bearing is one of the crucial mechanical parts in a high-speed train. Its fault
detection is of great significance, as it ensures the safety of a high-speed train service. To …

The variation histories of cable force and effective temperature were recently processed by
empirical mode decomposition (EMD) to discover that they can both be categorized into two …

This paper investigates a dual-timescale autopilot for a wing-damaged airplane applying
nonlinear adaptive sliding mode approach. The adaptive flight control strategy is used to …