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 …

Prognostics and health management in nuclear power plants: An updated method-centric review with special focus on data-driven methods

X Zhao, J Kim, K Warns, X Wang… - Frontiers in Energy …, 2021‏ - frontiersin.org
In a carbon-constrained world, future uses of nuclear power technologies can contribute to
climate change mitigation as the installed electricity generating capacity and range of …

Exploring the impacts and contributions of maintenance function for sustainable manufacturing

M Holgado, M Macchi, S Evans - International Journal of …, 2020‏ - Taylor & Francis
This investigation studies advanced practitioners of maintenance management and seeks to
uncover the related impacts and contributions of best practice maintenance toward …

Condition-based maintenance—an extensive literature review

E Quatrini, F Costantino, G Di Gravio, R Patriarca - Machines, 2020‏ - mdpi.com
This paper presents an extensive literature review on the field of condition-based
maintenance (CBM). The paper encompasses over 4000 contributions, analysed through …

Measuring the effect of Healthcare 4.0 implementation on hospitals' performance

GL Tortorella, FS Fogliatto, KF Espôsto… - … Planning & Control, 2022‏ - Taylor & Francis
In this study, we identify bundles of technologies and associated implementation barriers
that could be viewed as part of Healthcare 4.0 (H4. 0) and test their impact on performance …

A framework for effective management of condition based maintenance programs in the context of industrial development of E-Maintenance strategies

AJ Guillén, A Crespo, JF Gómez, MD Sanz - Computers in Industry, 2016‏ - Elsevier
Abstract CBM (Condition Based Maintenance) solutions are increasingly present in
industrial systems due to two main circumstances: rapid evolution, without precedents, in the …

A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms

A Polenghi, L Cattaneo, M Macchi - Journal of Intelligent Manufacturing, 2024‏ - Springer
Smart factories build on cyber-physical systems as one of the most promising technological
concepts. Within smart factories, condition-based and predictive maintenance are key …

Dynamic Risk Assessment for CBM-based adaptation of maintenance planning

PMG Fernández, AJG López, AC Márquez… - Reliability Engineering & …, 2022‏ - Elsevier
This paper proposes a practical method for dynamic maintenance planning based on
Dynamic Risk Assessment (DRA). This is founded on the interpretation, in terms of risk …

Aero engine health monitoring, diagnostics and prognostics for condition-based maintenance: An overview

N Rath, RK Mishra, A Kushari - International Journal of Turbo & Jet …, 2024‏ - degruyter.com
Aero engine performance deterioration highly influences its reliability, availability and life
cycle. Predictive maintenance is therefore a key figure within Industry 4.0, which guarantees …

A digital twin-based scheduling framework including equipment health index and genetic algorithms

E Negri, HD Ardakani, L Cattaneo, J Singh, M Macchi… - IFAC-PapersOnLine, 2019‏ - Elsevier
The advent of Industry 4.0 technologies and in particular the Cyber-Physical Systems, Digital
Twins and pervasive connected sensors is transforming many industries, among which …