Industrial Machine

Industrial machine research centers on improving efficiency, reliability, and safety through advanced monitoring and predictive maintenance. Current efforts focus on developing robust fault detection methods using diverse sensor data (vibration, sound, temperature) and sophisticated machine learning models, including deep neural networks (e.g., convolutional neural networks, LSTMs, Transformers), and Markov Decision Processes. These advancements enable more accurate predictions of remaining useful life, optimized task assignment, and timely maintenance interventions, ultimately reducing downtime and operational costs across various industries.