Maintenance management based on machine learning and nonlinear features in wind turbines

AA Jiménez, L Zhang, CQG Muñoz, FPG Márquez - Renewable Energy, 2020 - Elsevier
… The classified results are used to identify WTB conditions or levels of damage severity [7,19,20].
SHM can reduce maintenance costs by preventing serious WTB failure, and can also …

A review on lubricant condition monitoring information analysis for maintenance decision support

JM Wakiru, L Pintelon, PN Muchiri… - Mechanical systems and …, 2019 - Elsevier
… Moreover, LCM tests and parameters are reviewed and classified under varying categories
… This section reviews the diverse approaches used while applying LCM in maintenance

Maintenance applications of multi-criteria optimization: A review

CS Syan, G Ramsoobag - Reliability Engineering & System Safety, 2019 - Elsevier
… [71] proposed a hybrid Prediction, gradual search and Diversity maintenance approach
which is applied using three steps. The algorithm developed utilizes the first prediction step to …

PriMa: a prescriptive maintenance model for cyber-physical production systems

F Ansari, R Glawar, T Nemeth - International Journal of Computer …, 2019 - Taylor & Francis
maintenance approaches in CPPS environment, it is worth underscoring the diversity of …
While there are many similarities between novel maintenance approaches enhanced by sensing …

Data-driven predictive maintenance scheduling policies for railways

PCL Gerum, A Altay, M Baykal-Gürsoy - Transportation Research Part C …, 2019 - Elsevier
maintenance activities may become costly if done excessively. Therefore, there is a need
for efficient inspection and maintenance … We use these parameters to generate the transition …

Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

B Yang, J Wang, X Zhang, T Yu, W Yao, H Shu… - Energy Conversion and …, 2020 - Elsevier
… Accurate parameter identification is crucial for a precise PV cell modelling and analysis of …
which have been applied on PV cell parameter identification. Particularly, these algorithms are …

A global manufacturing big data ecosystem for fault detection in predictive maintenance

W Yu, T Dillon, F Mostafa, W Rahayu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… in preventive maintenance, that is, undertaking maintenance … their maintenance strategy
instead of performing maintenance … Although the scheduled maintenance approach can prevent …

Pollinators contribute to the maintenance of flowering plant diversity

N Wei, RL Kaczorowski, G Arceo-Gómez, EM O'Neill… - Nature, 2021 - nature.com
Mechanisms that favour rare species are key to the maintenance of diverse communities 1 ,
2 – 3 . One of the most critical tasks for conservation of flowering plant biodiversity is to …

Predictive maintenance using tree-based classification techniques: A case of railway switches

ZA Bukhsh, A Saeed, I Stipanovic, AG Doree - Transportation Research Part …, 2019 - Elsevier
maintenance due to budget cuts, the railway infrastructure is in a critical state and require …
maintenance. The infrastructure managers have to come up with smart maintenance decisions …

Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

M Shafiee, JD Sørensen - Reliability Engineering & System Safety, 2019 - Elsevier
maintenance programmes for wind energy farms is a complex task involving a high degree
of uncertainty due to diversity … space or poor accessibility for maintenance and repair, limited …