Remaining useful life prediction of milling tool under segmented variable machining conditions considering the coupling effect of degradation indicators
Puntos clave
Remaining useful life predictions enhance manufacturing efficiency and toolkit longevity during variable machining conditions.
Key evidence indicates that accurate predictions are achievable by assessing multiple degradation indicators across diverse settings.
This study utilizes a prediction model that integrates the coupling effect of degradation indicators on performance across different machining scenarios.
These insights may enable better maintenance strategies, though studies in real-world conditions are necessary for validation.
Predicción de la vida útil restante de la herramienta de fresado bajo condiciones de mecanizado variables segmentadas considerando el efecto de acoplamiento de los indicadores de degradación | Synapse