Research graph
References from A SCADA-integrated predictive maintenance architecture for aircraft engines: comparative AI modelling and economic assessment. Local targets link to admitted publications; unresolved targets remain external evidence.
A review on applications of ANN and SVM for building electrical energy consumption forecasting
10.1016/j.rser.2014.01.069 · 2014 · External reference
A conceptual framework for machine learning algorithm selection for predictive maintenance
10.1016/j.engappai.2024.108340 · 2024 · External reference
A deep learning model for predictive maintenance in cyber-physical production systems using LSTM autoencoders
10.3390/s21030972 · 2021 · External reference
Application of predictive maintenance concepts using artificial intelligence tools
10.3390/app11010018 · 2020 · External reference
A systematic literature review of machine learning methods applied to predictive maintenance
10.1016/j.cie.2019.106024 · 2019 · External reference
Industrial internet of things monitoring solution for advanced predictive maintenance applications
10.1016/j.jii.2017.02.003 · 2017 · External reference
Unresolved reference
2004 · External reference
10.1007/978-3-319-05624-1
10.1007/978-3-319-05624-1 · 2014 · External reference
Machine learning and reasoning for predictive maintenance in industry 4.0: current status and challenges
10.1016/j.compind.2020.103298 · 2020 · External reference
A survey on data-driven predictive maintenance for the railway industry
10.3390/s21175739 · 2021 · External reference
A cyber-physical systems architecture for industry 4.0-based manufacturing systems
10.1016/j.mfglet.2014.12.001 · 2015 · External reference
Predictive maintenance of machine tool systems using artificial intelligence techniques applied to machine condition data
10.1016/j.procir.2018.12.019 · 2019 · External reference
Unresolved reference
2002 · External reference
Analysis of aircraft maintenance processes and cost
10.1016/j.procir.2020.01.115 · 2020 · External reference
Machine learning approach for predictive maintenance in industry 4.0
2018 · External reference
Predictive maintenance and intelligent sensors in smart factory
10.3390/s21041470 · 2021 · External reference
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
10.1007/s10489-021-03004-y · 2022 · External reference
Condition monitoring using machine learning: a review of theory, applications, and recent advances
10.1016/j.eswa.2023.119738 · 2023 · External reference
Support vector machine in machine condition monitoring and fault diagnosis
10.1016/j.ymssp.2006.12.007 · 2007 · External reference
Research on key technology of industrial artificial intelligence and its application in predictive maintenance
2020 · External reference
Fault diagnosis and remaining useful life estimation of aero engine using LSTM neural network
2016 · External reference
Machine health monitoring using local feature-based gated recurrent unit networks
10.1109/tie.2017.2733438 · 2017 · External reference
Predictive maintenance in the industry 4.0: a systematic literature review
10.1016/j.cie.2020.106889 · 2020 · External reference
SCADA system testbed for cybersecurity research using machine learning approach
10.3390/fi10080076 · 2018 · External reference
A similarity-based prognostics approach for remaining useful life estimation of engineered systems
2008 · External reference
System modeling and simulation for predictive maintenance
10.1080/019697298125597 · 1998 · External reference
10.1007/978-1-4614-1800-9_14
10.1007/978-1-4614-1800-9_14 · 2012 · External reference
10.1007/978-1-4614-1800-9_14
10.1007/978-1-4614-1800-9_14 · ExternalCitation · doi-reference
10.1007/978-3-319-05624-1
10.1007/978-3-319-05624-1 · ExternalCitation · doi-reference
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
10.1007/s10489-021-03004-y · ExternalCitation · doi-reference
A systematic literature review of machine learning methods applied to predictive maintenance
10.1016/j.cie.2019.106024 · ExternalCitation · doi-reference
Predictive maintenance in the industry 4.0: a systematic literature review
10.1016/j.cie.2020.106889 · ExternalCitation · doi-reference
Machine learning and reasoning for predictive maintenance in industry 4.0: current status and challenges
10.1016/j.compind.2020.103298 · ExternalCitation · doi-reference
A conceptual framework for machine learning algorithm selection for predictive maintenance
10.1016/j.engappai.2024.108340 · ExternalCitation · doi-reference
Condition monitoring using machine learning: a review of theory, applications, and recent advances
10.1016/j.eswa.2023.119738 · ExternalCitation · doi-reference
Industrial internet of things monitoring solution for advanced predictive maintenance applications
10.1016/j.jii.2017.02.003 · ExternalCitation · doi-reference
A cyber-physical systems architecture for industry 4.0-based manufacturing systems
10.1016/j.mfglet.2014.12.001 · ExternalCitation · doi-reference
Predictive maintenance of machine tool systems using artificial intelligence techniques applied to machine condition data
10.1016/j.procir.2018.12.019 · ExternalCitation · doi-reference
Analysis of aircraft maintenance processes and cost
10.1016/j.procir.2020.01.115 · ExternalCitation · doi-reference
A review on applications of ANN and SVM for building electrical energy consumption forecasting
10.1016/j.rser.2014.01.069 · ExternalCitation · doi-reference
Support vector machine in machine condition monitoring and fault diagnosis
10.1016/j.ymssp.2006.12.007 · ExternalCitation · doi-reference
System modeling and simulation for predictive maintenance
10.1080/019697298125597 · ExternalCitation · doi-reference
Machine health monitoring using local feature-based gated recurrent unit networks
10.1109/tie.2017.2733438 · ExternalCitation · doi-reference
Application of predictive maintenance concepts using artificial intelligence tools
10.3390/app11010018 · ExternalCitation · doi-reference
SCADA system testbed for cybersecurity research using machine learning approach
10.3390/fi10080076 · ExternalCitation · doi-reference
A deep learning model for predictive maintenance in cyber-physical production systems using LSTM autoencoders
10.3390/s21030972 · ExternalCitation · doi-reference
Predictive maintenance and intelligent sensors in smart factory
10.3390/s21041470 · ExternalCitation · doi-reference
A survey on data-driven predictive maintenance for the railway industry
10.3390/s21175739 · ExternalCitation · doi-reference
