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Journal Articles

An Artificial Intelligence/Machine Learning Based Regression-Clustering-Sensor-Fusion Framework for Predicting Unmeasurable Time-Series Strain From Other Sensor Measurements

Subhasish Mohanty, Joseph Listwan
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2022, 5(1): 011001.
Paper No: NDE-20-1073
https://doi.org/10.1115/1.4050592
Published Online: April 19, 2021
... framework is by using AI-based ML and/or DL, techniques such as using the already available Scikit-learn 2 and Keras 3 based libraries. The related theoretical background and results are discussed. artificial intelligence machine learning sensor data fusion time-series prediction...
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Topics: Artificial intelligence, Cycles, Fatigue testing, Machine learning, Sensors, Time series, Fatigue, Displacement