Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective

Y Wen, MF Rahman, H Xu, TLB Tseng - Measurement, 2022 - Elsevier
In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …

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 …

Challenges and opportunities of condition-based predictive maintenance: a review

N Sakib, T Wuest - Procedia cirp, 2018 - Elsevier
The concept of maintenance has advanced significantly over the last decades from a
reactive service activity towards a pro-active one with more C-level attention. Among them …

[图书][B] Predictive maintenance in dynamic systems: advanced methods, decision support tools and real-world applications

E Lughofer, M Sayed-Mouchaweh - 2019 - Springer
During recent years, rapid technological developments and breakthroughs in various
industrial automatization processes with the support of modern machines, big data storages …

Current status of machine prognostics in condition-based maintenance: a review

Y Peng, M Dong, MJ Zuo - The International Journal of Advanced …, 2010 - Springer
Condition-based maintenance (CBM) is a decision-making strategy based on real-time
diagnosis of impending failures and prognosis of future equipment health. It is a proactive …

Data-driven intelligent predictive maintenance of industrial assets

O Fink - Women in Industrial and Systems Engineering: Key …, 2020 - Springer
Condition monitoring and predictive maintenance enable to focus on the operating and
degradation conditions of a specific asset and designing maintenance policies that are …

Data-driven fault diagnostics and prognostics for predictive maintenance: A brief overview

G Xu, M Liu, J Wang, Y Ma, J Wang… - 2019 IEEE 15th …, 2019 - ieeexplore.ieee.org
Predictive Maintenance (PdM) is a maintenance strategy which predicts equipment failures
before they occur and then performs maintenance in advance to avoid the occurrence of …

A survey of predictive maintenance: Systems, purposes and approaches

Y Ran, X Zhou, P Lin, Y Wen, R Deng - arXiv preprint arXiv:1912.07383, 2019 - arxiv.org
This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …

[HTML][HTML] Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines

M Mitici, I de Pater, A Barros, Z Zeng - Reliability Engineering & System …, 2023 - Elsevier
The increasing availability of condition-monitoring data for components/systems has
incentivized the development of data-driven Remaining Useful Life (RUL) prognostics in the …

Predictive maintenance for pump systems and thermal power plants: State-of-the-art review, trends and challenges

J Fausing Olesen, HR Shaker - Sensors, 2020 - mdpi.com
Thermal power plants are an important asset in the current energy infrastructure, delivering
ancillary services, power, and heat to their respective consumers. Faults on critical …