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Detecting and estimating the time of a single-step change in nonlinear profiles using artificial neural networks

Ghazizadeh, A ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1007/s13198-021-01121-y
  3. Publisher: Springer , 2021
  4. Abstract:
  5. This effort attempts to study the change point problem in the area of non-linear profiles. A method based on Artificial Neural Networks (ANN) is proposed for estimating the real time of a single step change. The feature vector of the proposed Multi-Layer Perceptron (MLP) is based on Z and control chart statistics for nonlinear profiles. The merits of the proposed estimator are evaluated through simulation experiments. The results show that the estimator provides an accurate estimate of the single step change point in non-linear profiles in the selected case problem. © 2021, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden
  6. Keywords:
  7. Artificial Neural Network ; Multi-layer perceptron ; Non-linear profile ; Statistical process control ; Step change point
  8. Source: International Journal of Systems Assurance Engineering and Management ; 2021 ; 09756809 (ISSN)
  9. URL: https://link.springer.com/article/10.1007%2Fs13198-021-01121-y