Adaptive Health Monitoring and Fault Prognostics of Rotating Machinery: Statistical Model-based Remaining Useful Life Prediction KU Leuven
Effective health monitoring and fault prognostics are crucial for ensuring the reliable operation of rotating machinery. Challenges arise in detecting faults under varying operating conditions and accurately predicting Remaining Useful Life (RUL). Statistical Model (SM)-based fault prognostics is advantageous in the application due to the fast computation and less complexity of implementation. However, several challenges still exist in the ...