Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities
出版年份 2023 全文链接
标题
Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities
作者
关键词
-
出版物
Journal of Marine Engineering and Technology
Volume -, Issue -, Pages 1-15
出版商
Informa UK Limited
发表日期
2023-08-18
DOI
10.1080/20464177.2023.2243748
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Review of maintenance strategies for ship machinery systems
- (2023) Çağlar Karatuğ et al. Journal of Marine Engineering and Technology
- Ship performance monitoring using machine-learning
- (2022) Prateek Gupta et al. OCEAN ENGINEERING
- A machine learning method for the evaluation of ship grounding risk in real operational conditions
- (2022) Mingyang Zhang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Adopting machine learning and condition monitoring P-F curves in determining and prioritizing high-value assets for life extension
- (2021) Sunday Ochella et al. EXPERT SYSTEMS WITH APPLICATIONS
- A fuzzy DEMATEL-ANP-VIKOR analytical model for maintenance strategy selection of safety critical assets
- (2021) Mohammad A Arjomandi et al. Advances in Mechanical Engineering
- Deep machine learning for structural health monitoring on ship hulls using acoustic emission method
- (2020) Petros Karvelis et al. Ships and Offshore Structures
- Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
- (2020) Zeki Murat Çınar et al. Sustainability
- Performance analysis and availability optimization to improve maintenance schedule for the turbo-generator subsystem of a thermal power plant using particle swarm optimization
- (2020) Hanumant P. Jagtap et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A deep supervised learning approach for condition-based maintenance of naval propulsion systems
- (2020) Tarek Berghout et al. OCEAN ENGINEERING
- Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
- (2019) Giang Nguyen et al. ARTIFICIAL INTELLIGENCE REVIEW
- Maintenance strategy selection for critical shipboard machinery systems using a hybrid AHP-PROMETHEE and cost benefit analysis: a case study
- (2019) Isaac Animah et al. Journal of Marine Engineering and Technology
- Condition monitoring of marine and offshore machinery using evidential reasoning techniques
- (2019) Maurice Patrick Asuquo et al. Journal of Marine Engineering and Technology
- Scheduling multi-component maintenance with a greedy heuristic local search algorithm
- (2019) Seyedmohsen Hosseini et al. SOFT COMPUTING
- A fuzzy decision support system for managing maintenance activities of critical components in manufacturing systems
- (2019) İhsan Erozan JOURNAL OF MANUFACTURING SYSTEMS
- Instantaneous Mean-Time-To-Failure (MTTF) estimation for checkpoint interval computation at run time
- (2019) Mohamad Imran bin Bandan et al. MICROELECTRONICS RELIABILITY
- Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
- (2019) Weiting Zhang et al. IEEE Systems Journal
- Reliability maintenance aspects of deck machinery for ageing/aged fishing vessels
- (2019) David Kimera et al. Journal of Marine Engineering and Technology
- A systematic literature review of machine learning methods applied to predictive maintenance
- (2019) Thyago P. Carvalho et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Maintenance optimization for marine mechanical systems
- (2019) David Kimera et al. Proceedings of the Institution of Mechanical Engineers Part M-Journal of Engineering for the Maritime Environment
- Continuous machine learning for abnormality identification to aid condition-based maintenance in nuclear power plant
- (2018) R.M. Ayo-Imoru et al. ANNALS OF NUCLEAR ENERGY
- Condition based maintenance optimization for offshore wind turbine considering opportunities based on neural network approach
- (2018) Yang Lu et al. APPLIED OCEAN RESEARCH
- Predicting ship machinery system condition through analytical reliability tools and artificial neural networks
- (2018) I. Lazakis et al. OCEAN ENGINEERING
- Remaining useful life estimation in prognostics using deep convolution neural networks
- (2018) Xiang Li et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Optimum parameter design for performance of methanol steam reformer combining Taguchi method with artificial neural network and genetic algorithm
- (2017) Kwan Ouyang et al. ENERGY
- Reducing costs by clustering maintenance activities for multiple critical units
- (2016) Bram de Jonge et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- The development of a model for determining scheduled replacement intervals for marine machinery systems
- (2016) Ikuobase Emovon et al. Proceedings of the Institution of Mechanical Engineers Part M-Journal of Engineering for the Maritime Environment
- Neural network approach for failure rate prediction
- (2015) Małgorzata Kutyłowska ENGINEERING FAILURE ANALYSIS
- Machine Learning for Predictive Maintenance: A Multiple Classifier Approach
- (2015) Gian Antonio Susto et al. IEEE Transactions on Industrial Informatics
- Context awareness for maintenance decision making: A diagnosis and prognosis approach
- (2015) Diego Galar et al. MEASUREMENT
- Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment
- (2015) Iraklis Lazakis et al. Proceedings of the Institution of Mechanical Engineers Part M-Journal of Engineering for the Maritime Environment
- Machine learning approaches for improving condition-based maintenance of naval propulsion plants
- (2014) Andrea Coraddu et al. Proceedings of the Institution of Mechanical Engineers Part M-Journal of Engineering for the Maritime Environment
- Remaining useful life prediction of grinding mill liners using an artificial neural network
- (2013) Farzaneh Ahmadzadeh et al. MINERALS ENGINEERING
- Prediction of tractor repair and maintenance costs using Artificial Neural Network
- (2011) Abbas Rohani et al. EXPERT SYSTEMS WITH APPLICATIONS
- Failure and reliability prediction by support vector machines regression of time series data
- (2011) Márcio das Chagas Moura et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Data classification and MTBF prediction with a multivariate analysis approach
- (2011) Marcello Braglia et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Predicting remaining useful life of rotating machinery based artificial neural network
- (2010) Abd Kadir Mahamad et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Application of genetic algorithm and Taguchi method in dynamic robust parameter design for unknown problems
- (2009) Pisvimol Chatsirirungruang INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring
- (2009) Zhigang Tian JOURNAL OF INTELLIGENT MANUFACTURING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search