With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …

Advanced technologies based on Internet of Things (IOT) are blazing a trail to effective and
efficient management of an overall plant. In this context, manufacturing companies require …

This paper proposes a maintenance platform for business vehicles which detects failure sign
using IoT data on the move, orders to create repair parts by 3D printers and to deliver them …

The proliferation of sensing technologies such as sensors has resulted in vast amounts of
time-series data being produced by machines in industrial plants and factories. There is …

Maintenance aims to reduce and eliminate the number of failures occurred during
production as any breakdown of machine or equipment may lead to disruption for the supply …

This paper investigates the challenging fault prediction problem in process industries that
adopt autonomous and intelligent cyber-physical systems (CPS), which is in line with the …

Internet of Things (IOT) started as a niche market for hobbyists and has evolved into a huge
industry. This IoT is convergence of manifold technologies, real-time analytics, machine …

Applying Deep Learning in the field of Industrial Internet of Things is a very active research
field. The prediction of failures of machines and equipment in industrial environments before …

Industry 4.0 enables technological trends like Big Data Analytics and Machine Learning
techniques to converge into and merge with traditional manufacturing processes, resulting in …

Condition monitoring together with predictive maintenance of electric motors and other
equipment used by the industry avoids severe economic losses resulting from unexpected …