Recognition of abnormal patterns in industrial processes with variable window size via convolutional neural networks and AdaBoost
Author
Abstract
Suggested Citation
DOI: 10.1007/s10845-021-01907-8
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Ling-Jing Kao & Tian-Shyug Lee & Chi-Jie Lu, 2016. "A multi-stage control chart pattern recognition scheme based on independent component analysis and support vector machine," Journal of Intelligent Manufacturing, Springer, vol. 27(3), pages 653-664, June.
- Tao Zan & Zhihao Liu & Hui Wang & Min Wang & Xiangsheng Gao, 2020. "Control chart pattern recognition using the convolutional neural network," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 703-716, March.
- Xueliang Zhou & Pingyu Jiang & Xianxiang Wang, 2018. "Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function," Journal of Intelligent Manufacturing, Springer, vol. 29(1), pages 51-67, January.
- Min Zhang & Wenming Cheng, 2015. "Recognition of Mixture Control Chart Pattern Using Multiclass Support Vector Machine and Genetic Algorithm Based on Statistical and Shape Features," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-10, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Tao Zan & Zhihao Liu & Hui Wang & Min Wang & Xiangsheng Gao, 2020. "Control chart pattern recognition using the convolutional neural network," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 703-716, March.
- Pei-Hsi Lee & Shih-Lung Liao, 2023. "Residual Control Chart Based on a Convolutional Neural Network and Support Vector Regression for Type-I Censored Data with the Weibull Model," Mathematics, MDPI, vol. 12(1), pages 1-14, December.
- Aamir Majeed Chaudhary & Aamir Sanaullah & Muhammad Hanif & Mohammad M. A. Almazah & Nafisa A. Albasheir & Fuad S. Al-Duais, 2023. "Efficient Monitoring of a Parameter of Non-Normal Process Using a Robust Efficient Control Chart: A Comparative Study," Mathematics, MDPI, vol. 11(19), pages 1-30, October.
- Chuen-Sheng Cheng & Pei-Wen Chen & Yu-Chin Hsieh & Yu-Tang Wu, 2023. "Multivariate Process Control Chart Pattern Classification Using Multi-Channel Deep Convolutional Neural Networks," Mathematics, MDPI, vol. 11(15), pages 1-26, July.
- Ethel García & Rita Peñabaena-Niebles & Maria Jubiz-Diaz & Angie Perez-Tafur, 2022. "Concurrent Control Chart Pattern Recognition: A Systematic Review," Mathematics, MDPI, vol. 10(6), pages 1-31, March.
- Pamela Chiñas-Sanchez & Ismael Lopez-Juarez & Jose Antonio Vazquez-Lopez & Jose Luis Navarro-Gonzalez & Aidee Hernandez-Lopez, 2021. "Out-of-Control Multivariate Patterns Recognition Using D 2 and SVM: A Study Case for GMAW," Mathematics, MDPI, vol. 9(5), pages 1-14, February.
- Yuehjen E. Shao & Po-Yu Chang & Chi-Jie Lu, 2017. "Applying Two-Stage Neural Network Based Classifiers to the Identification of Mixture Control Chart Patterns for an SPC-EPC Process," Complexity, Hindawi, vol. 2017, pages 1-10, October.
- Yun Bai & Zhenzhong Sun & Bo Zeng & Jianyu Long & Lin Li & José Valente Oliveira & Chuan Li, 2019. "A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2245-2256, June.
More about this item
Keywords
CCPR; Mixed CCP; CNN; Deep learning; Bayesian optimization; Control chart pattern recognition;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joinma:v:34:y:2023:i:4:d:10.1007_s10845-021-01907-8. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.