文章名稱引用次數

• Remaining useful life estimation in prognostics using deep convolution neural networks111
• A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis47
• Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction42
• A general failure-pursuing sampling framework for surrogate-based reliability analysis39
• Reliability analysis of complex multi-state system with common cause failure based on evidential networks35
• Recent advances in prognostics and health management for advanced manufacturing paradigms34
• Hybrid preventive maintenance of competing failures under random environment33
• Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture32
• REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis31
• Maritime navigation accidents and risk indicators: An exploratory statistical analysis using AIS data and accident reports30