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 …

Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics

JJM Jimenez, S Schwartz, R Vingerhoeds… - Journal of manufacturing …, 2020 - Elsevier
The use of a modern technological system requires a good engineering approach,
optimized operations, and proper maintenance in order to keep the system in an optimal …

Developing an online data-driven approach for prognostics and health management of lithium-ion batteries

S Khaleghi, MS Hosen, D Karimi, H Behi, SH Beheshti… - Applied Energy, 2022 - Elsevier
Lithium-ion batteries have achieved dominance in energy storage systems. Meanwhile,
there is a demand for the reliability of lithium-ion batteries. Battery prognostics and health …

Recent progress of chatter prediction, detection and suppression in milling

L Zhu, C Liu - Mechanical Systems and Signal Processing, 2020 - Elsevier
Machining chatter has been studied by scholars over the past decades, since chatter has a
significant impact on surface quality and productivity. Researchers have carried out …

A new dynamic predictive maintenance framework using deep learning for failure prognostics

KTP Nguyen, K Medjaher - Reliability Engineering & System Safety, 2019 - Elsevier
Abstract In Prognostic Health and Management (PHM) literature, the predictive maintenance
studies can be classified into two groups. The first group focuses on the prognostics step but …

[HTML][HTML] Application of deep learning in facility management and maintenance for heating, ventilation, and air conditioning

MR Sanzana, T Maul, JY Wong, MOM Abdulrazic… - Automation in …, 2022 - Elsevier
Despite the promising results of deep learning research, construction industry applications
are still limited. Facility Management (FM) in construction has yet to take full advantage of …

Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review

S Khaleghi, MS Hosen, J Van Mierlo… - … and Sustainable Energy …, 2024 - Elsevier
Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …

A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines

KTP Nguyen, K Medjaher, DT Tran - Artificial Intelligence Review, 2023 - Springer
The past decade has witnessed the adoption of artificial intelligence (AI) in various
applications. It is of no exception in the area of prognostics and health management (PHM) …

A predictive model for the maintenance of industrial machinery in the context of industry 4.0

JR Ruiz-Sarmiento, J Monroy, FA Moreno… - … Applications of Artificial …, 2020 - Elsevier
The Industry 4.0 paradigm is being increasingly adopted in the production, distribution and
commercialization chains worldwide. The integration of the cutting-edge techniques behind …

Recommendation system using feature extraction and pattern recognition in clinical care systems

UA Bhatti, M Huang, D Wu, Y Zhang… - Enterprise information …, 2019 - Taylor & Francis
Medical information systems have been increasingly facilitating and improving the quality of
health monitoring, disease-trend modelling and early intervention with evidence-based …