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RISMarkov Nonlinear System Estimation for Engine Performance Tracking
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a joint state and parameter estimation method for aircraft engine performance degradation tracking. Contrast to previously reported techniques on state estimation that view parameters in the state ...
Cloud Computing for Cloud Manufacturing: Benefits and Limitations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Cloud computing, as a new paradigm for aggregating computing resources and delivering services over the Internet, is of considerable interest to both academia and the industry. In this paper, the main characteristics of ...
Design for Additive Manufacturing: Optimization of Piping Network in Compact System With Enhanced Path-Finding Approach
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This research aims at unleashing the potential of additive manufacturing technology in industrial design that can produce structures/devices with irregular component geometries to reduce sizes/weights. We explore, by means ...
Orthogonal Analysis of Multisensor Data Fusion for Improved Quality Control
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Multisensor data fusion can enable comprehensive representation of manufacturing processes, thereby contributing to improved part quality control. The effectiveness of data fusion depends on the nature of the input data. ...
Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Today’s manufacturing systems are becoming increasingly complex, dynamic, and connected. The factory operations face challenges of highly nonlinear and stochastic activity due to the countless uncertainties and interdependencies ...
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 ...
Discrete Time-Delay Optimal Control Method for Experimental Active Chatter Suppression and Its Closed-Loop Stability Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Chatter is a self-excited and unstable vibration phenomenon during machining operations, which affects the workpiece surface quality and the production efficiency. Active chatter control has been intensively studied to ...
Pressure and Draw-In Maps for Stamping Process Monitoring
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents two tooling-integrated sensing techniques for the in situ measurement and analyses of pressure distribution at the tool–workpiece interface and material draw-in during the stamping processes. Specifically, ...
Discrete Time-Delay Optimal Control Method for Experimental Active Chatter Suppression and Its Closed-Loop Stability Analysis
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Chatter is a self-excited and unstable vibration phenomenon during machining operations, which affects the workpiece surface quality and the production efficiency. Active chatter control has been intensively studied to ...