44 citations · 44 across the 3 of their papers we have counts for
4 papers
Optimal Transport Image Representation and Deep Covariance Alignment (CORAL) for Control Valve Stiction Detection
Seshu K. Damarla
Control valve stiction is a common cause of unwanted oscillations and poor control-loop performance in industrial processes. Data-driven methods can automatically detect stiction,…
Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support
Seshu Kumar Damarla, Xiuli Zhu
Industrial plants run many important machines such as pumps, turbines, and compressors. Although engineers can use their experience to identify and diagnose machine problems, trans…
Explainable Probabilistic Machine Learning for Predicting Drilling Fluid Loss of Circulation in Marun Oil Field
Seshu Kumar Damarla, Xiuli Zhu
Lost circulation remains a major and costly challenge in drilling operations, often resulting in wellbore instability, stuck pipe, and extended non-productive time. Accurate predic…
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey
R. Bhushan Gopaluni, Aditya Tulsyan, Benoit Chachuat +6
Over the last ten years, we have seen a significant increase in industrial data, tremendous improvement in computational power, and major theoretical advances in machine learning.…