Ultrasound is considered as an effective nondestructive testing method. This review paper
discusses the potential of ultrasonic techniques for defect detection and fractures in …

Real-time control systems (RTCS) have become an indispensable part of modern industry,
finding widespread applications in fields such as robotics, intelligent manufacturing and …

Optimizing the performance of screw compressors is critical for achieving high efficiency and
reducing costs in various industrial and engineering applications. Often, the design and …

Over the past decades, deep learning techniques have attracted increased attention from
various research and industrial domains aligned with the development of Industry Internet-of …

The utilization of transfer learning enables effective realization of the transferability of aero-
engine fault diagnosis models across disparate states. However, the gradual degradation of …

The detection of pomegranate fruitlets is of great significance for fruit thinning and yield
estimation. However, the researches on the detection of pomegranate fruitlets are rarely …

Remaining useful life (RUL) prediction of aircraft engines is significant in the health
monitoring, operation, and maintenance of aircraft. Capturing more comprehensive device …

In the context of long-term exposure to harsh operating conditions, the hypersonic flight
vehicle (HFV) is susceptible to failure. Regrettably, the current fault diagnosis methods for …

This study proposes a machine learning-driven approach for the analysis of the feature
importance of seismic parameters on tunnel damage and seismic fragility prediction. The …

As a key part of construction machinery, the hydraulic system is widely used in industrial
fields. Due to its complexity and high integration, the fault diagnosis of hydraulic systems has …