15th WCEAM Proceedings

55001 and ISO30401 for Knowledge Management.- The potential for digital twin applications in railway infrastructure management.- Digital twins in asset management: potential application use cases in rail and road infrastructures.- Asset Management Decisions.- Proposition of a generic decision framework for prescriptive maintenance decision-making: An application to the automotive sector.- Asset Information Management Systems: Critical Success Factors in the Brazilian Electricity Sector.- Benchmarking Asset Information Quality of a Utility Company in Brazil.- The Value of Business Process Management to Understand Complex Asset Management Processes.- Towards evidence-based decision making in asset management.- Probabilistic technico-economic analysis of hydroelectric power unit operation and maintenance including prognostic.- Condition Monitoring & Assessment.- Condition Assessment of Engineered Assets in era of Society 5.0.- Model proposal for failure detection and classification of internal combustion engine operating condition.- Fault diagnosis and isolation for diesel engine combustion chambers based on Autoencoder and BP neural network.- Asset Management and Energy Efficiency Improvements in a Critical Environment - The Case of a University Bioterium.- Determination of Water Content in Heavy Fuel Oil Using a Relative Permittivity Meter.- Particulate matter monitoring in Joinville, Santa Catarina, Brazil.- Failure detection and isolation by LSTM autoencoder.- Condition-Based Inspection Grouping Policy for Boiler Heat Exchanger Tubes.- Developing a lubrication oil age prediction model.- Railway track geometry degradation modelling and prediction for maintenance decision support.- Efficient Implementation of Artificial Neural Networks for Sensor Data Analysis based on a Genetic Algorithm.- Application of Frequency Division Multiplexing and Neural Networks in the Operation and Diagnosis of the Stator Current and Shaft Position Sensors used in Electric/Hybrid Vehicles.- Machine learning based prediction of fatigue events in railway rails.- Online temperature estimation of permanent magnet synchronous machines (PMSM) using non-linear autoregressive neural networks with exogenous input (NARX).