A Hybrid Method to Predict the Remaining Useful Life of Scroll Wheel of Control Rod Drive Mechanism

As one of the rotating components in reluctance motor type control rod drive mechanism (CRDM), life scroll wheel is closely related to service CRDM. In addition, prediction remaining useful helps optimize maintenance process This paper proposes a hybrid method predict its when available degradation data are rare and failure threshold cannot be accurately defined. First, particle filtering algorithm, whose state transfer equation established on segmental damage physical model, used wheel. Second, proportional hazard model for relationship between characteristics reliability it. The proposed focuses establishment clustering analysis extracted from vibration signals, which can results provide an opportunity condition-based preventive