Remaining useful life prediction of milling tool under segmented variable machining conditions considering the coupling effect of degradation indicators

Key Points

• 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.