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Constructing Robust and Reliable Health Indices and Improving the Accuracy of Remaining Useful Life Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A system health index is a measurement of the health condition of complex systems. However, most of the health indices are developed based on strong assumptions. Consequently, existing health indices are not capable of ...
Economic Benefit Analysis of Cloud Based Design, Engineering Analysis, and Manufacturing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: From a business perspective, cloud computing has revolutionized the information and communication technology (ICT) industry by offering scalable and ondemand ICT services as well as innovative pricing plans such as payperuse ...
Ontology Based Knowledge Representation for Obsolescence Forecasting
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The impact and pervasiveness of diminishing manufacturing sources and material shortages (DMSMS) obsolescence are increasing due to rapidly advancing technologies which shorten the procurement lives of hightech parts. For ...
Immersive Distributed Design Through Real-Time Capture, Translation, and Rendering of Three-Dimensional Mesh Data1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: With design teams becoming more distributed, the sharing and interpreting of complex data about design concepts/prototypes and environments have become increasingly challenging. The size and quality of data that can be ...
Immersive Distributed Design Through Real-Time Capture, Translation, and Rendering of Three-Dimensional Mesh Data1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: With design teams becoming more distributed, the sharing and interpreting of complex data about design concepts/prototypes and environments have become increasingly challenging. The size and quality of data that can be ...
A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Manufacturers have faced an increasing need for the development of predictive models that predict mechanical failures and the remaining useful life (RUL) of manufacturing systems or components. Classical model-based or ...
Cloud-Based Parallel Machine Learning for Tool Wear Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The emergence of cloud computing, industrial internet of things (IIoT), and new machine learning techniques have shown the potential to advance prognostics and health management (PHM) in smart manufacturing. While model-based ...