[HTML][HTML] Maintenance optimization in industry 4.0

L Pinciroli, P Baraldi, E Zio - Reliability Engineering & System Safety, 2023 - Elsevier
This work reviews maintenance optimization from different and complementary points of
view. Specifically, we systematically analyze the knowledge, information and data that can …

Prognostics and health management: A review from the perspectives of design, development and decision

Y Hu, X Miao, Y Si, E Pan, E Zio - Reliability Engineering & System Safety, 2022 - Elsevier
Prognostics and health management (PHM) is an enabling technology used to maintain the
reliable, efficient, economic and safe operation of engineering equipment, systems and …

Machine fault detection using a hybrid CNN-LSTM attention-based model

A Borré, LO Seman, E Camponogara, SF Stefenon… - Sensors, 2023 - mdpi.com
The predictive maintenance of electrical machines is a critical issue for companies, as it can
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …

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 …

Advancing 3D bioprinting through machine learning and artificial intelligence

S Ramesh, A Deep, A Tamayol, A Kamaraj, C Mahajan… - Bioprinting, 2024 - Elsevier
Abstract 3D bioprinting, a vital tool in tissue engineering, drug testing, and disease
modeling, is increasingly integrated with machine learning (ML) and artificial intelligence …

A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based …

Y An, X Chen, K Gao, L Zhang, Y Li, Z Zhao - Expert systems with …, 2023 - Elsevier
Production scheduling and maintenance planning are two of the most important tasks in the
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …

[HTML][HTML] A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty

M Li, X Jiang, J Carroll, RR Negenborn - Applied Energy, 2022 - Elsevier
While offshore wind energy is showing enormous potential, effective approaches to enhance
its economics are being sought at the same time. The design of maintenance strategy is a …

[HTML][HTML] Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study

AA Murtaza, A Saher, MH Zafar, SKR Moosavi… - Results in …, 2024 - Elsevier
This paper examines the integration of Industry 5.0 principles with advanced predictive
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …

Circular economy strategies in modern timber construction as a potential response to climate change

M Ghobadi, SME Sepasgozar - Journal of Building Engineering, 2023 - Elsevier
This paper aims to present recent circular economy (CE) cases used for modern methods of
timber construction (MMTC) and examine the CE strategies in this context. The research …

State of AI-based monitoring in smart manufacturing and introduction to focused section

H Ding, RX Gao, AJ Isaksson… - IEEE/ASME …, 2020 - ieeexplore.ieee.org
Over the past few decades, intelligentization, supported by artificial intelligence (AI)
technologies, has become an important trend for industrial manufacturing, accelerating the …