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Determination of Time-to-Failure for Automotive System Components Using Machine Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In recent years, there has been a growing interest in the connectivity of vehicles. This connectivity allows for the monitoring and analysis of large amount of sensor data from vehicles during their normal operations. In ...
Determination of Multi-Component Failure in Automotive System Using Deep Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The connectivity of modern vehicles allows for the monitoring and analysis of a large amount of sensor data from vehicles during their normal operations. In recent years, there has been a growing interest in utilizing this ...
Nonlinear Temperature Control of Additive Friction Stir Deposition Evaluated on an Echo State Network
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Additive friction stir deposition is a recent innovation in additive manufacturing allowing the deposition of metallic alloys onto a metallic deposit bed, creating a purely mechanical metallic bond. The deposition can be ...
A Review on Electromechanical Devices Fabricated by Additive Manufacturing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Additive manufacturing (AM) for mechanical devices and electronic components has been actively researched recently. While manufacturing of those mechanical and electronic devices has their own merits, combining them into ...