Cheng Ji

Feature representation learning by knowledge informed evolutionary generating programming for remaining useful life prediction of winders

Feature extraction from high-speed winding machines is crucial in diagnosing equipment failures in chemical fiber production. However, current methods often face challenges in prediction accuracy and adaptability, especially when accounting for varying degradation modes and operational conditions. This paper proposes...