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IIDAP is a standalone MATLAB-based software capable of performing a variety of dynamic analysis procedures ranging from simple response history analysis to response spectrum and incremental dynamic analyses on single degree-of-freedom systems (SDoF). IIDAP includes a wide-ranging library of SDoF system models ranging from simple non-deterioratin…
Aging-Aware Condition-Based Maintenance System using Deep Q-Learning. This project implements a Condition-Based Maintenance (CBM) system that considers equipment aging (deterioration) using Deep Q-Learning (DQN).
An MVP system for feature engineering and causal discovery for pump equipment. Generates 22 features from 90-day measurement data and discovers causal relationships to anomaly prediction using LiNGAM (Linear Non-Gaussian Acyclic Model).