A smart factory is a highly digitized and connected production facility that relies on smart
manufacturing. Additionally, artificial intelligence is the core technology of smart factories …

Abstract Integrated System Health Management (ISHM) is a promising technology that fuses
sensor data and historical state-of-health information of components and subsystems to …

This paper aims to discuss the importance and the necessity of reasoning applications in the
field of Aerospace Integrated Vehicle Health Management (IVHM). A fully functional IVHM …

The mining industry contributes to the expansion of the global economy by generating vital
commodities. For continuous production, the industry relies significantly on machinery and …

Rotor unbalance is the most common cause of vibration in industrial machines. The
unbalance can result in efficiency losses and decreased lifetime of bearings and other …

Deep learning is a rapidly growing research area having state of art achievement in various
applications including but not limited to speech recognition, object recognition, machine …

To address the problem of low fault diagnosis accuracy caused by insufficient fault samples
of rolling bearings, a dual-input deep anomaly detection method with zero fault samples is …

The paper presents up-to-date multidisciplinary review of scientific knowledge and industrial
guidelines concerning the issue of technical assessment of epicyclic gearboxes on the basis …

This study proposes a high-efficiency method using a co-prime circular microphone array
(CPCMA) for the bearing fault diagnosis, and discusses the acoustic characteristics of three …

This study aims to develop a fault detection system designed specifically for wind turbine
gearboxes. It proposes a hybrid fault diagnosis algorithm that combines scatter plot analysis …