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An ANN-based ensemble model for change point estimation in control charts · Study

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ArticleAn ANN-based ensemble model for change point estimation in control charts

Ali Yeganeh2021

Article2021

An ANN-based ensemble model for change point estimation in control charts

Ali Yeganeh · Farhad Pourpanah · Alireza Shadman

34 citations·0/0 files stored·Applied Soft Computing

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Advanced Statistical Process Monitoring Neural Networks and Applications Fault Detection and Control Systems

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 34 citations exist upstream.

References

1992Introduction to Statistical Quality Control 1970Inference About the Change-Point in a Sequence of Random Variables 1988Introduction to Statistical Quality Control 2003The Changepoint Model for Statistical Process Control 1978The Problem of the Nile: Conditional Solution to a Changepoint Problem 2019Nonparametric (distribution-free) control charts: An updated overview and some results 2005Statistical Process Control for Shifts in Mean or Variance Using a Changepoint Formulation 2001Estimation of the Change Point of a Normal Process Mean in SPC Applications

Cited by

2022An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring 2023Employing machine learning techniques in monitoring autocorrelated profiles 2023A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders 2025Explainable AI for trustworthy intelligent process monitoring 2021Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles 2023Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance 2021A Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles 2023New Machine-Learning Control Charts for Simultaneous Monitoring of Multivariate Normal Process Parameters with Detection and Identification

Details

Year2021

Typearticle

Published2021-06-15

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations34

Files0 public / 0

ShelfAdvanced Statistical Process Monitoring

Identifiers

doi10.1016/j.asoc.2021.107604

openalex_workW3170765241

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