A review and analysis of automatic optical inspection and quality monitoring methods in electronics industry
M Abd Al Rahman, A Mousavi - Ieee Access, 2020 - ieeexplore.ieee.org
Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …
industries. In order to meet the high consumption demands on electronics components …
A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme
W Hachicha, A Ghorbel - Computers & Industrial Engineering, 2012 - Elsevier
Control Chart Pattern Recognition (CCPR) is a critical task in Statistical Process Control
(SPC). Abnormal patterns exhibited in control charts can be associated with certain …
(SPC). Abnormal patterns exhibited in control charts can be associated with certain …
Control chart pattern recognition using RBF neural network with new training algorithm and practical features
The control chart patterns are the most commonly used statistical process control (SPC)
tools to monitor process changes. When a control chart produces an out-of-control signal …
tools to monitor process changes. When a control chart produces an out-of-control signal …
Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process
LJ Kao, CC Chiu - Journal of Manufacturing Systems, 2020 - Elsevier
The integration of statistical process control and engineering process control has been
reported as an effective way to monitor and control the autocorrelated process. However …
reported as an effective way to monitor and control the autocorrelated process. However …
A new automatic method for control chart patterns recognition based on ConvNet and harris hawks meta heuristic optimization algorithm
The productions quality has become one of the essential issues in the modern
manufacturing industry and several techniques have introduced for control and monitoring …
manufacturing industry and several techniques have introduced for control and monitoring …
A deep autoencoder feature learning method for process pattern recognition
Recognition of various defect patterns exhibited in discrete manufacturing processes can
significantly reduce the diagnostic processes, and increase manufacturing process stability …
significantly reduce the diagnostic processes, and increase manufacturing process stability …
Control chart pattern recognition using the convolutional neural network
Unnatural control chart patterns (CCPs) usually correspond to the specific factors in a
manufacturing process, so the control charts have become important means of the statistical …
manufacturing process, so the control charts have become important means of the statistical …
A weighted support vector machine method for control chart pattern recognition
P Xanthopoulos, T Razzaghi - Computers & Industrial Engineering, 2014 - Elsevier
Manual inspection and evaluation of quality control data is a tedious task that requires the
undistracted attention of specialized personnel. On the other hand, automated monitoring of …
undistracted attention of specialized personnel. On the other hand, automated monitoring of …
Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function
X Zhou, P Jiang, X Wang - Journal of Intelligent Manufacturing, 2018 - Springer
Accurate control chart patterns recognition (CCPR) plays an essential role in the
implementation of control charts. However, it is a challenging problem since nonrandom …
implementation of control charts. However, it is a challenging problem since nonrandom …
Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines
S Du, D Huang, J Lv - Computers & Industrial Engineering, 2013 - Elsevier
Statistical process control charts have been widely utilized for monitoring process variation
in many applications. Nonrandom patterns exhibited by control charts imply certain potential …
in many applications. Nonrandom patterns exhibited by control charts imply certain potential …