On predictive maintenance in industry 4.0: Overview, models, and challenges

M Achouch, M Dimitrova, K Ziane… - Applied Sciences, 2022 - mdpi.com
In the era of the fourth industrial revolution, several concepts have arisen in parallel with this
new revolution, such as predictive maintenance, which today plays a key role in sustainable …

Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review

C Zhang, Z Wang, G Zhou, F Chang, D Ma… - Advanced Engineering …, 2023 - Elsevier
As businesses started to embrace Industry 4.0, along came the Fifth Industrial Revolution.
Industry 5.0 complements the existing Industry 4.0 paradigm for the not-too-distant future by …

Natural language processing and artificial intelligence for enterprise management in the era of industry 4.0

PM Mah, I Skalna, J Muzam - Applied Sciences, 2022 - mdpi.com
Introduction: The advances in the digital era have necessitated the adoption of
communication as the main channel for modern business. In the past, business negotiations …

Predictive maintenance for industry 5.0: Behavioural inquiries from a work system perspective

B Van Oudenhoven, P Van de Calseyde… - … Journal of Production …, 2023 - Taylor & Francis
ABSTRACT Predictive Maintenance (PdM) solutions assist decision-makers by predicting
equipment health and scheduling maintenance actions, but their implementation in industry …

[HTML][HTML] Human-technology integration with industrial conversational agents: A conceptual architecture and a taxonomy for manufacturing

S Colabianchi, A Tedeschi, F Costantino - Journal of Industrial Information …, 2023 - Elsevier
Conversational agents are systems with great potential to enhance human-computer
interaction in industrial settings. Although the number of applications of conversational …

Maintenance performance in the age of Industry 4.0: A bibliometric performance analysis and a systematic literature review

S Werbińska-Wojciechowska, K Winiarska - Sensors, 2023 - mdpi.com
Featured Application This article is focused on a literature review to provide a valuable
resource for understanding the latest developments in the Maintenance 4.0 approach. The …

Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends

A Ucar, M Karakose, N Kırımça - Applied Sciences, 2024 - mdpi.com
Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

The determination of limit wheel profile for hunting instability of railway vehicles using stacking feature deep forest

X Dai, S Qu, C Huang, P Wu - Engineering Applications of Artificial …, 2023 - Elsevier
Wheel and rail profiles have significant impacts on the vehicle system dynamics. Improper
wheel and rail profiles lead to the decay of vehicle dynamics performance, hunting instability …

A feasible framework for maintenance digitalization

U Ahmed, S Carpitella, A Certa, J Izquierdo - Processes, 2023 - mdpi.com
The entire industry is changing as a result of new developments in digital technology, and
maintenance management is a crucial procedure that may take advantage of the …

Urban intelligent assistant on the example of the escalator passenger safety management at the subway stations

M Tianxing, A Vodyaho, N Zhukova, A Subbotin… - Scientific Reports, 2023 - nature.com
Intelligent assistants often struggle with the complexity of spatiotemporal models used for
understanding objects and environments. The construction and usage of such models …