## 2 Materials and Methods
### Methods
#### 2.2.1 Overview
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* [PERSON] and [PERSON] (1997) [PERSON]; [PERSON] [PERSON] Long Short-Term Memory. _Neural Comput._**1997**, \(9\), 1735-1780. [CrossRef]
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* [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Multi-mode Fault Diagnosis Datasets of Gearbox Under Variable Working Conditions. _Data Brief_**2024**, _54_, 110453. [CrossRef]
* [PERSON] and [PERSON] (2024) [PERSON]; [PERSON]; [PERSON] Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study. _Reliab. Eng. Syst. Saf._**2024**, _245_, 109964. [CrossRef]
* [PERSON] (2017) [PERSON] Xception: Deep learning with depthwise separable convolutions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, 21-26 July 2017; pp. 1251-1258. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Searching for activation functions. _arXiv_**2017**, arXiv:1710.05941. * [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON] Roformer: Enhanced transformer with rotary position embedding. _Neurocomputing_**2024**, _568_, 127063. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Rezero is all you need: Fast convergence at large depth. _Uncertain. Artif. Intell._**2021**, _161_, 1352-1361. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Multireceptive field graph convolutional networks for machine fault diagnosis. _IEEE Trans. Ind. Electron._**2020**, \(3\), 12739-12749. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Attention-aware temporal-spatial graph neural network with multi-sensor information fusion for fault diagnosis. _Knowl.-Based Syst._**2023**, _278_, 110891. [CrossRef]
* [PERSON] et al. (2025) [PERSON]; [PERSON]; [PERSON] Research on gearbox fault diagnosis method under variable working conditions based on HHO-MLP neural network. _Manuf.