[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …
conducted a comprehensive analysis of 344 eligible journal papers published between …
Tackling Industrial Downtimes with Artificial Intelligence in Data-Driven Maintenance
MA Hoffmann, R Lasch - ACM Computing Surveys, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) approaches in industrial maintenance for fault
detection and prediction has gained much attention from scholars and practitioners. This …
detection and prediction has gained much attention from scholars and practitioners. This …
Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet …
Research background: The article explores the integration of Artificial Intelligence (AI) in
predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses …
predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses …
A review on data-driven condition monitoring of industrial equipment
R Qi, J Zhang, K Spencer - Algorithms, 2022 - mdpi.com
This paper presents an up-to-date review of data-driven condition monitoring of industrial
equipment with the focus on three commonly used equipment: motors, pumps, and bearings …
equipment with the focus on three commonly used equipment: motors, pumps, and bearings …
Prognostics and health management for induction machines: a comprehensive review
C Huang, S Bu, HH Lee, KW Chan… - Journal of Intelligent …, 2024 - Springer
Induction machines (IMs) are utilized in different industrial sectors such as manufacturing,
transportation, transmission, and energy due to their ruggedness, low cost, and high …
transportation, transmission, and energy due to their ruggedness, low cost, and high …
[HTML][HTML] Industrial AI in condition-based maintenance: A case study in wooden piece manufacturing
P Marti-Puig, IA Touhami, RC Perarnau… - Computers & Industrial …, 2024 - Elsevier
The article presents a case study applying industrial artificial intelligence to Condition-Based
Maintenance in a wooden piece manufacturing company. The study focuses on the …
Maintenance in a wooden piece manufacturing company. The study focuses on the …
Presentation of DeMa (decision support software and database for wellfield management) and its application for the Wadi Al Arab wellfield
This article aims to present the structure and the workflow of a new software DeMa (Decision
Support Software and Database for Wellfield Management), to support wellfield managers in …
Support Software and Database for Wellfield Management), to support wellfield managers in …
[PDF][PDF] Application of Tiny Machine Learning in Predicative Maintenance in Industries
The advancements in the Internet of Things (IoT) and Machine Learning (ML) have enabled
significant improvements in Predictive Maintenance (PdM) in industries, providing economic …
significant improvements in Predictive Maintenance (PdM) in industries, providing economic …
Artificial intelligence an essential factor for the benefit of companies: systematic review of the literature
MAD Martínez, RVR Salinas, SR Hernández… - Cogent …, 2024 - Taylor & Francis
The implementation of artificial intelligence and 4.0 technologies helps business leaders
make better decisions to reduce costs, improve team performance, and increase …
make better decisions to reduce costs, improve team performance, and increase …
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines
Anomaly detection in manufacturing pipelines remains a critical challenge, intensified by the
complexity and variability of industrial environments. This paper introduces AssemAI, an …
complexity and variability of industrial environments. This paper introduces AssemAI, an …