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Quantifying Uncertainty of Damage in Composites Using a Quasi Monte Carlo Technique
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Property variations in a structure strongly impact the macroscopic mechanical performance as regions with lower strength will be prone to damage initiation or acceleration. Consideration of the variability in material ...
Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This article presents a spindle condition monitoring methodology using a low-power smart vibration sensor and a near real-time deep neural network (DNN) classifier. The most frequent spindle failures, such as imbalance, ...