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 …

Machine learning-based predictive maintenance: A cost-oriented model for implementation

E Florian, F Sgarbossa, I Zennaro - International Journal of Production …, 2021 - Elsevier
Abstract Predictive Maintenance (PdM) is a condition-based maintenance strategy (CBM)
that carries out maintenance action when needed, avoiding unnecessary preventive actions …

[HTML][HTML] A conceptual framework for machine learning algorithm selection for predictive maintenance

S Arena, E Florian, F Sgarbossa, E Sølvsberg… - … Applications of Artificial …, 2024 - Elsevier
The Industry 4.0 paradigm enables advanced data-driven decision-making processes
leading many manufacturers to a digital transformation. Within this context, Predictive …

[HTML][HTML] A taxonomy of railway track maintenance planning and scheduling: A review and research trends

M Sedghi, O Kauppila, B Bergquist, E Vanhatalo… - Reliability Engineering & …, 2021 - Elsevier
Railway track maintenance and renewal are vital for railway safety, train punctuality, and
travel comfort. Therefore, having cost-effective maintenance is critical in managing railway …

Artificial intelligence based prognostic maintenance of renewable energy systems: A review of techniques, challenges, and future research directions

YS Afridi, K Ahmad, L Hassan - International Journal of Energy …, 2022 - Wiley Online Library
Since the depletion of fossil fuels, the world has started to rely heavily on renewable sources
of energy. With every passing year, our dependency on renewable sources of energy is …

Strategical selection of maintenance type under different conditions

MM Hamasha, AH Bani-Irshid, S Al Mashaqbeh… - Scientific Reports, 2023 - nature.com
Selecting the appropriate maintenance type is a challenging task that involves multiple
criteria working together. This decision has a significant impact on the organization and its …

Remaining useful life prediction for multi-phase deteriorating process based on Wiener process

G Liao, H Yin, M Chen, Z Lin - Reliability Engineering & System Safety, 2021 - Elsevier
Owing to the environmental stress and internal materials, the degradation signals show
multiple phases characteristics, which have frequently been encountered in practice. In this …

A model-based reinforcement learning approach for maintenance optimization of degrading systems in a large state space

P Zhang, X Zhu, M **e - Computers & Industrial Engineering, 2021 - Elsevier
Scheduling maintenance tasks based on the deteriorating process has often been
established on degradation models. However, the formulas of the degradation processes …

[HTML][HTML] An optimization model for determining cost-efficient maintenance policies for multi-component systems with economic and structural dependencies

J Leppinen, A Punkka, T Ekholm, A Salo - Omega, 2025 - Elsevier
In most multi-component systems, the cost-efficiency of maintenance policies depends on
technical structural dependencies. Motivated by the recognition that these dependencies …

[HTML][HTML] An efficient procedure for optimal maintenance intervention in partially observable multi-component systems

O Karabağ, Ö Bulut, AÖ Toy, MM Fadıloğlu - Reliability Engineering & …, 2024 - Elsevier
With rapid advances in technology, many systems are becoming more complex, including
ever-increasing numbers of components that are prone to failure. In most cases, it may not …