back-door path

Liu, Changqing, Li, Yingguang, Hua, Jiaqi, Zhao, Zhiwei and Gao, James ORCID: 0000-0001-5625-3654 (2024) A causal based method for denoising non-homologous noises in time series manufacturing monitoring data. Journal of Manufacturing Systems, 76. pp. 92-102. ISSN 0278-6125 (Print), 1878-6642 (Online) (doi:https://doi.org/10.1016/j.jmsy.2024.07.008)

causal-based method

Liu, Changqing, Li, Yingguang, Hua, Jiaqi, Zhao, Zhiwei and Gao, James ORCID: 0000-0001-5625-3654 (2024) A causal based method for denoising non-homologous noises in time series manufacturing monitoring data. Journal of Manufacturing Systems, 76. pp. 92-102. ISSN 0278-6125 (Print), 1878-6642 (Online) (doi:https://doi.org/10.1016/j.jmsy.2024.07.008)

Condition monitoring

Li, Yingguang, Liu, Changqing, Hua, Jiaqi, Gao, James ORCID: 0000-0001-5625-3654 and Maropoulos, Paul (2019) A novel method for accurately monitoring and predicting tool wear under varying cutting conditions based on meta-learning. CIRP Annals ‐ Manufacturing Technology, 68 (1). pp. 487-490. ISSN 0007-8506 (doi:https://doi.org/10.1016/j.cirp.2019.03.010)

data denoising

Liu, Changqing, Li, Yingguang, Hua, Jiaqi, Zhao, Zhiwei and Gao, James ORCID: 0000-0001-5625-3654 (2024) A causal based method for denoising non-homologous noises in time series manufacturing monitoring data. Journal of Manufacturing Systems, 76. pp. 92-102. ISSN 0278-6125 (Print), 1878-6642 (Online) (doi:https://doi.org/10.1016/j.jmsy.2024.07.008)

Meta-learning

Li, Yingguang, Liu, Changqing, Hua, Jiaqi, Gao, James ORCID: 0000-0001-5625-3654 and Maropoulos, Paul (2019) A novel method for accurately monitoring and predicting tool wear under varying cutting conditions based on meta-learning. CIRP Annals ‐ Manufacturing Technology, 68 (1). pp. 487-490. ISSN 0007-8506 (doi:https://doi.org/10.1016/j.cirp.2019.03.010)

non-homologous noise

Liu, Changqing, Li, Yingguang, Hua, Jiaqi, Zhao, Zhiwei and Gao, James ORCID: 0000-0001-5625-3654 (2024) A causal based method for denoising non-homologous noises in time series manufacturing monitoring data. Journal of Manufacturing Systems, 76. pp. 92-102. ISSN 0278-6125 (Print), 1878-6642 (Online) (doi:https://doi.org/10.1016/j.jmsy.2024.07.008)

Process control

Li, Yingguang, Liu, Changqing, Hua, Jiaqi, Gao, James ORCID: 0000-0001-5625-3654 and Maropoulos, Paul (2019) A novel method for accurately monitoring and predicting tool wear under varying cutting conditions based on meta-learning. CIRP Annals ‐ Manufacturing Technology, 68 (1). pp. 487-490. ISSN 0007-8506 (doi:https://doi.org/10.1016/j.cirp.2019.03.010)