5+ day, 29+ min ago   (385+ words) Predictive maintenance of railway wheelsets requires remaining useful life (RUL) estimates and treatment of model limitations. This study develops a Gamma-process-informed XGBoost surrogate for an ONCF fleet of 444 vehicles, 3552 candidate wheel positions, and 14 inspection campaigns. Flange width (Fw), flange height…...

6+ day, 22+ hour ago   (487+ words) Prevailing rolling bearing fault diagnosis frameworks based on long short-term memory (LSTM) are susceptible to noise interference under industrial strong-noise working conditions, suffering from insufficient feature extraction capability and low diagnostic precision. To address these limitations, this paper proposes a…...

1+ week, 1+ hour ago   (368+ words) The accurate prediction of Remaining Useful Life (RUL) is fundamental to Prognostics and Health Management (PHM), enabling predictive maintenance and ensuring the operational safety of complex industrial systems. While deep learning models have demonstrated significant potential in RUL estimation, existing…...

1+ week, 22+ hour ago   (452+ words) Estimated time of arrival (ETA) models for last-mile delivery are commonly evaluated within the same data source, leaving their reliability under cross-dataset distribution shift insufficiently characterized. This study evaluates internal generalization, independent external transfer, limited target-domain supervision, support-set sensitivity, and…...

1+ week, 6+ day ago   (614+ words) In the context of Industry 4.0, predictive maintenance increasingly relies on machine learning models to anticipate equipment failures and reduce unplanned downtime. This makes the selection of the most suitable ML model a multidimensional and complex decision problem, since models with…...

2+ week, 1+ day ago   (506+ words) To overcome the nonlinear and non-stationary characteristics of rolling bearing vibration signals and the challenge of extracting incipient weak fault features, this paper proposes a joint fault diagnosis method based on Variational Mode Decomposition (VMD), Maximum Correlated Kurtosis Deconvolution (MCKD) and…...

2+ week, 2+ day ago   (435+ words) Reliable operation of hydro turbine-generator units (HTGUs) is central to safe, flexible, and efficient hydropower generation. State-of-the-art approaches to condition monitoring, fault diagnosis, and early fault detection increasingly rely on artificial intelligence (AI)-driven methods. However, labeled fault data remain…...

2+ week, 2+ day ago   (494+ words) Vision-based traffic accident anticipation is critical for active vehicle safety systems, yet existing architectures frequently conflate performance gains with heavy parameter scaling optimized from scratch on compact domains. Consequently, during real-time inference, these frameworks suffer from severe prediction volatility and…...

2+ week, 2+ day ago   (361+ words) Multi-camera vehicle sensing provides a cost-effective solution for 3D environmental perception in intelligent vehicles. A practical challenge is that temporal fusion becomes unreliable when the ego-vehicle undergoes aggressive motion. Historical camera features are commonly aligned by rigid ego-pose warping, but residual…...

2+ week, 6+ day ago   (356+ words) Accurately predicting transportation accident severity is critical for targeted risk governance, yet research based on accident investigation reports is often hampered by small sample sizes and skewed class distributions. This study develops a dual-track feature fusion and interpretable prediction framework…...