Open access
2026
Enhancing Industrial Fault Diagnosis: A Probabilistic Expert System With LLM-Augmented Validation
Keeping industrial utility equipment reliable is a central problem in industrial predictive maintenance, especially for assets whose faults are reflected in coupled pressure, temperature, flow, power, and efficiency signals. Pure data-driven models can learn complex patterns but are difficult to audit, while convention...
Yunqi Li, Xin Tang, Yin-Bo Dai et al.
· IEEE Access · 0 citations