## Nomenclature
Available online: [[https://www.advantatech.com/en/products/b7e2306f-d561-4](https://www.advantatech.com/en/products/b7e2306f-d561-4) ca9-b0e3-33f7057e185f/wise-2410/mod_25018 dc7-355c-40b4-bf9b-e93f6c73f1a0]([https://www.advantatech.com/en/products/b7e2306f-d561-4](https://www.advantatech.com/en/products/b7e2306f-d561-4) ca9-b0e3-33f7057e185f/wise-2410/mod_25018 dc7-355c-40b4-bf9b-e93f6c73f1a0) (accessed on 1 June 2023.). * Advantatech (2023) Advantatech. WebAccess_MCM_DS(07.18.17)--Advantech Support--Advantech. 2023. Available online: [[https://www.advantatech.com/en/support/details/datasheet?id=b5660e1c-d223-40](https://www.advantatech.com/en/support/details/datasheet?id=b5660e1c-d223-40) ed-86 bd-bdab7 be541d7]([https://www.advantatech.com/en/support/details/datasheet?id=b5660e1c-d223-40](https://www.advantatech.com/en/support/details/datasheet?id=b5660e1c-d223-40) ed-86 bd-bdab7 be541d7) (accessed on 1 June 2023.). * [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] Design of Smart Device for Induction Motor Condition Monitoring. _J. Phys. Conf. Ser._**2021**, _1845_, 012035. [CrossRef]
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* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] An experimental evaluation of fault diagnosis from imbalanced and incomplete data for smart semiconductor manufacturing. _Big Data Cogn. Comput._**2018**, \(2\), 30. [CrossRef]
* [PERSON] (1998) Ho, T.K. The random subspace method for constructing decision forests. _IEEE Trans. Pattern Anal. Mach. Intell._**1998**, _20_, 832-844. * [PERSON] (1995) Ho, T.K. Random decision forests. In Proceedings of the 3 rd International Conference on Document Analysis and Recognition, Montreal, QC, Canada, 14-16 August 1995; Volume 1, pp. 278-282. * [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] _UCI Machine Learning Repository_; University of California, School of Information and Computer Science: Irvine, CA, USA, 2019; Available online: [[https://archive.ics.uci.edu/ml/datasets.php](https://archive.ics.uci.edu/ml/datasets.php)]([https://archive.ics.uci.edu/ml/datasets.php](https://archive.ics.uci.edu/ml/datasets.php)) (accessed on 1 June 2023.). * [PERSON] and [PERSON] (2005) [PERSON]; [PERSON] Using AUC and accuracy in evaluating learning algorithms. _IEEE Trans. Knowl. Data Eng._**2005**, _17_, 299-310. [CrossRef]
* Type I Error and Type II Error. Available online: [[https://explorable.com/type-i-error](https://explorable.com/type-i-error)]([https://explorable.com/type-i-error](https://explorable.com/type-i-error)) (accessed on 12 February 2024). * ICML (2019) ICML. ICML 2019 Meta-Learning Tutorial. 2019. Available online: [[https://sites.google.com/view/icml19](https://sites.google.com/view/icml19) metalearning]([https://sites.google.com/view/icml19](https://sites.google.com/view/icml19) metalearning) (accessed on 1 June 2023.). * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Model-agnostic meta-learning for fast adaptation of deep networks. In Proceedings of the International Conference on Machine Learning, Sydney, Australia, 6-11 August 2017; pp. 1126-1135. * [PERSON] (1985) [PERSON]. Exponential smoothing: The state of the art. _J. Forecast._**1985**, \(4\), 1-28. [CrossRef]
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