Interpretable Machine Learning: A brief survey from the predictive maintenance perspective

S Vollert, M Atzmueller… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
In the field of predictive maintenance (PdM), machine learning (ML) has gained importance
over the last years. Accompanying this development, an increasing number of papers use …

[HTML][HTML] Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry

A Theissler, J Pérez-Velázquez, M Kettelgerdes… - Reliability engineering & …, 2021 - Elsevier
Recent developments in maintenance modelling fueled by data-based approaches such as
machine learning (ML), have enabled a broad range of applications. In the automotive …

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 …

Predictive Service in the Automotive Industry: Coupling Machine Learning and IoT

G Patange, N Bhavsar, A Kumar… - Recent Trends In …, 2025 - taylorfrancis.com
The fusion of machine learning and the Internet of Things (IoT) is undergoing a substantial
revolution in the automotive industry. A promising use of this convergence is predictive …

[图书][B] Opportunities and challenges of implementing industry 4.0 technologies in the South African maintenance industry

C Govender - 2022 - search.proquest.com
The fourth industrial revolution, like other revolutions, has brought upon radical change to
the world and its industries. The maintenance industry, in particular, has seen the …