In the modern manufacturing industry, mechanical equipment plays a crucial role.
Equipment working in harsh environments for a long time is more likely to break down …

Sensing is the fundamental technique for sensor data acquisition in monitoring the operation
condition of the machinery, structures and manufacturing processes. In this paper, we briefly …

In gear fault diagnosis of practical engineering, the gear fault signal is affected by external
strong noise interference, the multipath superposition and interface loss of the internal fault …

In this letter, a gradient phononic crystal (PC) structure is proposed for robust enhanced
acoustic sensing. At first, the topologically protected edge states are introduced by breaking …

Condition monitoring and diagnosis of the gears is essential to ensure the reliability of the
whole mechanical equipment. Sensing technology based on acoustic signals plays a vital …

To address the problem of large parameters in the ResNet model, this article proposes a
rolling bearing fault diagnosis method with gram angle field (GAF) and Ghost-ResNet. For …

Acoustic metamaterials (AMMs) are promising in high-performance acoustic detection and
imaging; however, few can be combined with sensors to form a practical detector, and most …

Abstract Drone Acoustic Remote Sensing Technology (DARST) holds significant potential in
the approach to promote condition monitoring performance and efficiency. However, due to …

Rolling bearings, extensively utilized in rotating machinery, have critical significance for
online fault diagnosis in the domains of industrial equipment maintenance and accident …

The health condition of low-speed rolling bearing, such as the main bearing in wind turbines
which bears the heavy dead weight and operates under variable speeds, has a big impact …