Data analytics in quality 4.0: literature review and future research directions
The quality level in manufacturing processes increasingly concerns manufacturing firms, as
they respond to pressures such as increasing complexity and variety of products, more …
they respond to pressures such as increasing complexity and variety of products, more …
Process monitoring, diagnosis and control of additive manufacturing
Additive manufacturing (AM) can build up complex parts in a layer-by-layer manner, which is
a kind of novel and flexible production technology. The special manufacturing capability of …
a kind of novel and flexible production technology. The special manufacturing capability of …
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data
Abstract Information fusion refers to derive an overall precise description of data by using
certain fusion technique for utilizing the complementary information from multiple sources of …
certain fusion technique for utilizing the complementary information from multiple sources of …
Adaptive staged remaining useful life prediction method based on multi-sensor and multi-feature fusion
Y Ta, Y Li, W Cai, Q Zhang, Z Wang, L Dong… - Reliability Engineering & …, 2023 - Elsevier
The single sensor is difficult to acquire the complete degradation information of the
component, and the degradation model cannot adaptively track the staged degradation …
component, and the degradation model cannot adaptively track the staged degradation …
Data fusion for smart civil infrastructure management: A conceptual digital twin framework
Effective civil infrastructure management necessitates the utilization of timely data across the
entire asset lifecycle for condition assessment and predictive maintenance. A notable gap in …
entire asset lifecycle for condition assessment and predictive maintenance. A notable gap in …
Learning the health index of complex systems using dynamic conditional variational autoencoders
Recent advances in sensing technologies have enabled engineers to collect big data to
predict the remaining useful life (RUL) of complex systems. Current modeling techniques for …
predict the remaining useful life (RUL) of complex systems. Current modeling techniques for …
In-situ process evaluation for continuous fiber composite additive manufacturing using multisensing and correlation analysis
Multi-sensing and correlation analyses are essential for online process evaluation and
optimization to improve the quality of as-fabricated components. Defect-free process control …
optimization to improve the quality of as-fabricated components. Defect-free process control …
A digital twin framework for prognostics and health management
Despite rapid advances in modeling and analysis technology, the manufacturing industry
has been slow to implement prognostic and health management strategies. A cause of this …
has been slow to implement prognostic and health management strategies. A cause of this …
Predicting 3D printed plastic part properties: A deep learning approach with thermographic and vibration data fusion
Additive Manufacturing (AM) holds transformative potential for the manufacturing industry,
yet its widespread adoption is hindered by inconsistent product properties. This study …
yet its widespread adoption is hindered by inconsistent product properties. This study …
Decision fusion of two sensors object classification based on the evidential reasoning rule
M Ren, P He, J Zhou - Expert Systems with Applications, 2022 - Elsevier
The application of multiple sensors for object classification is commonly used in unmanned
intelligent systems such as autonomous driving and robots. Current researches based on …
intelligent systems such as autonomous driving and robots. Current researches based on …