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Leveraging Active Learning for Failure Mode Acquisition

Identifying failure modes is an important task to improve the design and reliability of a product and can also serve as a key input in sensor selection for predictive maintenance. Failure mode acquisition typically relies on experts or simulations …

Sensor Selection Framework for Designing Fault Diagnostics System

In a world of rapidly changing technologies, reliance on complex engineered systems has become substantial. Interactions associated with such systems as well as associated manufacturing processes also continue to evolve and grow in complexity. …

Scalable Detection of Defects in Additively Manufactured PLA Components

The present work delineates a novel and scalable approach to characterization of defects in additively manufactured components. The approach is based on digital image correlation and involves characterization of surface speeds during rigid body …

Characterizing surface defects in additively manufactured components using smart-phone imaging

Surface defects can be extremely detrimental to performance of fabricated components due to strain concentrations that are known to shorten life due to wear, fatigue, and corrosion. Unfortunately, surface defects are challenging to characterize due …

Clustering Design Structure Matrices: A Comparison of Methods Using Minimum Description Length

Understanding interactions between components is fundamental in the design of products. Design Structure Matrices (DSMs) are often used to represent the relationships between every component or subsystem in a product. The complex network of …