Nguyen, Khanh, T P

Advancing explainable prognostics and health management: Insights from new run-to-failure data of the Tennessee Eastman Process

The construction of health indicators (HIs) for failure prognostics is crucial for monitoring and predicting the health state of multi-component systems. Recently, data-driven methods for HI construction and prognostics have gained increasing attention, both relying heavily on high-quality run-to-failure (RTF) data for...