This book gathers selected peer-reviewed papers from the 15th World Congress on Engineering Asset Management (WCEAM), which was hosted by The Federal University of Mato Grosso do Sul Campo Grande, Brazil, from 15–-18 August 2021
This book covers a wide range of topics in engineering asset management, including:
- strategy and standards;
- sustainability and resiliency;
- servitisation and Industry 4.0 business models;
- asset information systems; and
- asset management decision-making.
The breadth and depth of these state-of-the-art, comprehensive proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students.
สารบัญ
Strategy & Standards.- A maintenance management improvement framework for asset management.- Case study critique of ISO 5500x-based auditing and certification.- Continuous quality improvement and business performance: The mediating role of physical asset management.- A strategic asset management framework for improving transport infrastructure: analysis for Belgian land transport modes.-
Sustainability & Resilience.- A sensorless daylight harvesting approach using calibration to reduce energy consumption in buildings.- Resilience rating system for buildings against natural hazards.- A framework for gamification to encourage environmentally friendly driving habits.- Assessing the economic and environmental effects of gravel recycling during gravel road maintenance.- Revisiting agricultural technologies in the 4IR era.- Speed of Innovation Diffusion in Green Hydrogen Technologies.-
Servitization & Industry 4.0.- Overview for Leasing or Buying Decisions in Industrial Asset Management.- Creating value and business benefits from joint offerings of asset performance management tools in the capital-intensive industries.- The Journey towards Successful Application of Maintenance 4.0 and Service Management 4.0.-
Risk, Reliability & Maintenance.- Methodology for optimizing preventive maintenance programs for equipment on an electrical distribution network.- Pragmatic performance management.- How to build an optimal long-term asset renewals and modernization plan driven by quantified cost/risk/performance value.- System for Early Detection of Insulation Failures of Electric Machinery.- Turnaround Maintenance in Process Industry: Challenges and Potential Solutions.- Modelling the effect of maintenance-induced failures from periodic testing of safety-critical equipment in the oil and gas industry.-
Asset Information Systems.- Facilitating change towards predictive maintenance.- An Intangible Asset Management Proposal based on ISO 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).
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