Switching Kalman filter for damage estimation in the presence of sensor faults

N Aswal, S Sen, L Mevel - Mechanical Systems and Signal Processing, 2022 - Elsevier
Bayesian filtering based approaches for diagnosis of structural damage have been widely
employed in structural health monitoring (SHM) research. The approach however may lead …

How Not to Make the Joint Extended Kalman Filter Fail with Unstructured Mechanistic Models

CF Iglesias Jr, M Bolic - Sensors, 2024 - mdpi.com
The unstructured mechanistic model (UMM) allows for modeling the macro-scale of a
phenomenon without known mechanisms. This is extremely useful in biomanufacturing …

Nonlinear Kalman Estimators for Low-Cost Bioprocess Monitoring with Unstructured Mechanistic Models

C Freitas Iglesias Junior - 2024 - ruor.uottawa.ca
Bioprocess monitoring is a critical component in the biopharmaceutical industry, essential
for ensuring the consistent production of high-quality biopharmaceutical products. Despite …

[PDF][PDF] Health monitoring of tensegrity structures robust to uncertainties

N Aswal - 2023 - researchgate.net
Tensegrities are self-stressed structures characterized by the presence of at least one
infinitesimal mechanism stiffened by pre-stress present in the members. While in the …

A Parallel Framework of Physics-Informed Neural Networks For Model Identification of Linear and Nonlinear Systems

N Mahar, S Sen, L Mevel - Available at SSRN 4710442 - papers.ssrn.com
Recent advancements in sensor and communication technologies have facilitated extensive
monitoring of parameters in complex structures using both model-based and model …