Predictive maintenance for ballast pumps on ship repair yards via machine learning

Author:

Kimera David,Nangolo Fillemon Nduvu

Funder

African Development Bank

Publisher

Elsevier BV

Reference64 articles.

1. A systematic literature review of machine learning methods applied to predictive maintenance;Carvalho;J. Comput. Ind. Eng.,2019

2. A decision support system for integrating corrective maintenance, preventive maintenance, and condition-based maintenance;Hao,2010

3. Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms;Cheng;J. Automat. Construct.,2020

4. A new dynamic predictive maintenance framework using deep learning for failure prognostics;Nguyen;J. Reliab. Eng. Syst. Safety,2019

5. Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling;Baptista;J. Comput. Ind. Eng.,2018

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3. Assessment of the Effect of Predictive Maintenance on the System Reliability;VETOR - Revista de Ciências Exatas e Engenharias;2024-07-25

4. Dynamic Analysis of the De-Ballasting Operations of a Floating Dock with a Malfunctioning Pump;Journal of Marine Science and Application;2024-07-16

5. HSMM multi-observations for prognostics and health management;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2024-03-24

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