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RISFault Diagnosis in Multistation Assembly Systems Using Spatially Correlated Bayesian Learning Algorithm
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The problem of fault diagnosis for dimensional integrity in multistation assembly systems is addressed in this paper. Fault diagnosis under this context is to identify the process errors which significantly contribute to ...
MVGCN: Multi-View Graph Convolutional Neural Network for Surface Defect Identification Using Three-Dimensional Point Cloud
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Surface defect identification is a crucial task in many manufacturing systems, including automotive, aircraft, steel rolling, and precast concrete. Although image-based surface defect identification methods have been ...
Real Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Realtime monitoring and control of surface morphology variations in their incipient stages are vital for assuring nanometric range finish in the ultraprecision machining (UPM) process. A realtime monitoring approach, based ...
Significant Winter Weather Events and Associated Socioeconomic Impacts (Federal Aid Expenditures) across Oklahoma: 2000–10
Publisher: American Meteorological Society
Abstract: xceptionally severe winter storms that overwhelm local government result in major disaster declarations. Each National Weather Service forecast office in the United States reports winter events for a specific group of ...
Assessment of Dimensional Integrity and Spatial Defect Localization in Additive Manufacturing Using Spectral Graph Theory
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The ability of additive manufacturing (AM) processes to produce components with virtually any geometry presents a unique challenge in terms of quantifying the dimensional quality of the part. In this paper, a novel spectral ...
Classifying the Dimensional Variation in Additive Manufactured Parts From Laser-Scanned Three-Dimensional Point Cloud Data Using Machine Learning Approaches
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The objective of this work is to develop and apply a spectral graph theoretic approach for differentiating between (classifying) additive manufactured (AM) parts contingent on the severity of their dimensional variation ...
Online Real Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The objective of this work is to identify failure modes and detect the onset of process anomalies in additive manufacturing (AM) processes, specifically focusing on fused filament fabrication (FFF). We accomplish this ...