59 citations · 129 across the 4 of their papers we have counts for
4 papers
PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection
Fateme Mohammad Mohammadi, Hector Budman, Joshua L. Pulsipher
While physics-informed neural networks (PINNs) have shown strong potential for process modeling, physical equations are only enforced as soft constraints during training, and thus,…
Explainability: Relevance based Dynamic Deep Learning Algorithm for Fault Detection and Diagnosis in Chemical Processes
Piyush Agarwal, Melih Tamer, Hector Budman
The focus of this work is on Statistical Process Control (SPC) of a manufacturing process based on available measurements. Two important applications of SPC in industrial settings…
Hierarchical Deep Recurrent Neural Network based Method for Fault Detection and Diagnosis
Piyush Agarwal, Jorge Ivan Mireles Gonzalez, Ali Elkamel +1
A Deep Neural Network (DNN) based algorithm is proposed for the detection and classification of faults in industrial plants. The proposed algorithm has the ability to classify faul…
Simultaneous model identification and optimization in presence of model-plant mismatch
Jasdeep S. Mandur, Hector M. Budman
In a standard optimization approach, the underlying process model is first identified at a given set of operating conditions and this updated model is, then, used to calculate the…