Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Fault Diagnosis in Multivariate Control Charts Using Artificial Neural Networks

16 references·16 citing·21 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

1992Introduction to Statistical Quality Control7,842 cited
1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,939 cited
1992A Multivariate Exponentially Weighted Moving Average Control Chart1,231 cited
2001Introduction to Statistical Quality Control770 cited
2000Statistical Methods for Quality Improvement750 cited
1988Multivariate Generalizations of Cumulative Sum Quality-Control Schemes720 cited
1996Multivariate SPC Methods for Process and Product Monitoring676 cited
1947Multivariate Quality Control549 cited
1990Comparisons of MultivariateCUSUMCharts520 cited
1985Multivariate CUSUM Quality-Control Procedures411 cited
1995Decomposition of T 2 for Multivariate Control Chart Interpretation397 cited
1989Design of Exponentially Weighted Moving Average Schemes395 cited
1993Regression Adjustment for Variables in Multivariate Quality Control355 cited
1987A Note on Multivariate CUSUM Procedures337 cited
2000Fast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start320 cited
1982

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Fast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start

310 cited

Cited by

2007A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes96 cited
2013Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines82 cited
2008A neural network applied to estimate process capability of non-normal processes63 cited
2011Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques59 cited
2008Designing a multivariate–multistage quality control system using artificial neural networks57 cited
2012On-line classifying process mean shifts in multivariate control charts based on multiclass support vector machines53 cited
2021Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective52 cited
2007Skewness Reduction Approach in Multi-Attribute Process Monitoring49 cited
2007Artificial neural networks in applying MCUSUM residuals charts for AR(1) processes47 cited
2014Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines45 cited
2010An integrating approach to root cause analysis of a bivariate mean vector with a linear trend disturbance45 cited
2010Application of artificial neural networks in linear profile monitoring45 cited
2023New statistical and machine learning based control charts with variable parameters for monitoring generalized linear model profiles44 cited
2011The use of neural networks in statistical process control charts43 cited
2013Autoregressive coefficient-invariant control chart pattern recognition in autocorrelated manufacturing processes using neural network ensemble42 cited
2011On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model40 cited