A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing
Small-and medium-sized manufacturers, as well as large original equipment manufacturers
(OEMs), have faced an increasing need for the development of intelligent manufacturing …
(OEMs), have faced an increasing need for the development of intelligent manufacturing …
[HTML][HTML] Knowledge-based problem solving in physical product development––A methodological review
The manufacturing of products at low maturity levels (referred to as physical product
development) requires knowledge intensive nonconformance problem solving, yet …
development) requires knowledge intensive nonconformance problem solving, yet …
Data-driven anomaly recognition for unsupervised model-free fault detection in artificial pancreas
The last decade has seen tremendous improvements in technologies for Type 1 Diabetes
(T1D) management, in particular the so-called artificial pancreas (AP), a wearable closed …
(T1D) management, in particular the so-called artificial pancreas (AP), a wearable closed …
A novel decentralized process monitoring scheme using a modified multiblock PCA algorithm
C Tong, X Yan - IEEE Transactions on Automation Science and …, 2015 - ieeexplore.ieee.org
Decentralized process monitoring based on purely data-based methods has recently gained
considerable attention in multivariate statistical process monitoring circle. Although the …
considerable attention in multivariate statistical process monitoring circle. Although the …
Fault diagnosis method of joint fisher discriminant analysis based on the local and global manifold learning and its kernel version
Though Fisher discriminant analysis (FDA) is an outstanding method of fault diagnosis, it is
usually difficult to extract the discriminant information in a complex industrial environment …
usually difficult to extract the discriminant information in a complex industrial environment …
A quality-relevant sequential phase partition approach for regression modeling and quality prediction analysis in manufacturing processes
C Zhao - IEEE Transactions on Automation Science and …, 2013 - ieeexplore.ieee.org
Competition and demand for consistent and high-quality product have spurred the
development of quality prediction methods for industrial manufacturing processes …
development of quality prediction methods for industrial manufacturing processes …
Fault diagnosis in multistation assembly systems using spatially correlated bayesian learning algorithm
K Bastani, B Barazandeh… - Journal of …, 2018 - asmedigitalcollection.asme.org
The problem of fault diagnosis for dimensional integrity in multistation assembly systems is
addressed in this paper. Fault diagnosis under this context is to identify the process errors …
addressed in this paper. Fault diagnosis under this context is to identify the process errors …
PEN: Process estimator neural network for root cause analysis using graph convolution
Root cause analysis in modern multistage assembly lines is a challenging, yet widely used
technique to increase the product quality. Improvements–due to Industry 4.0–aim for near …
technique to increase the product quality. Improvements–due to Industry 4.0–aim for near …
Diesel engine fault diagnosis using intrinsic time-scale decomposition and multistage Adaboost relevance vector machine
Y Liu, J Zhang, K Qin, Y Xu - Proceedings of the Institution of …, 2018 - journals.sagepub.com
Diesel engine is the most widely used power source of machines. However, faults occur
frequently and often cause terrible accidents and serious economic losses. Therefore, diesel …
frequently and often cause terrible accidents and serious economic losses. Therefore, diesel …