Predictive maintenance is a well studied collection of techniques that aims to prolong the life
of a mechanical system by using artificial intelligence and machine learning to predict the …

Conventional fault diagnosis systems have constrained the automotive industry to damage
vehicle maintenance and component longevity critically. Hence, there is a growing demand …

This study develops a novel semi-supervised approach for detecting Air Pressure System
(APS) failures in Heavy-Duty Vehicles (HDVs) by exploiting two modern Machine Learning …

Abstract Model-based definition (MBD) can be applied to normalized define and associate
the whole lifecycle data of complex products by a three-dimensional (3D) digital model …

Engine-generator set (EGS) is an important energy supply component of high-voltage
microgrid in series hybrid electric powertrain (SHEP). Sustained and steady energy supply …

Track defects are gradually emerging with the development of urban rail transits. However,
there is rare research implemented to diagnose track conditions in real time. Although some …

The online measurement of the surface roughness of cold-rolled strip steel plays a
significant role in the steel manufacturing process. However, the traditional mechanism …

This article presents the factors that are conducive to the faster degradation of suspension
system components with examples of typical system damage seen at diagnostic stations …

Air compressors are widely used in industrial fields. Compressed air systems aggregate air
flows and then supply them to places of demand. These huge systems consume a significant …

With digitalization, the internet of things and the popularization of data-centric services,
different economy sectors have gone through significant changes in their business model …