An AI-Driven Framework for Thermal Sensor Stability Assessment and Predictive Fault Diagnosis in Industrial Cooling Systems: A Comparative Study of SVM and LSTM Approaches
The stability and reliability of temperature sensors in industrial cooling systems are critical to process quality, energy efficiency, and operational safety. However, existing approaches lack systematic stability metrics and intelligent predictive capabilities. This study proposes an AI-driven framework integrating st...