Adopting machine learning and condition monitoring P-F curves in determining and prioritizing high-value assets for life extension

Highlights：

• A novel framework for prioritizing equipment toward life extension;

• Combining the concept of P-F curve in condition monitoring with machine learning;

• Adopting data mining and k-means clustering algorithms to determine most vulnerable equipment for end-of-life treatment;

• To cluster equipment with similar degradation profiles and same safety performance requirements;

• To validate the proposed models using the NASA’s publicly available datasets.