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Table 2 Publications about the application of CNN in fault diagnosis

From: Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review

Object

Architectures

References

Bearing

1D-CNN

Chuya et al. [96], Eren et al. [97], Gonzalez-Muniz et al. [98], Li et al. [99],

Wang et al. [100], Yin et al. [101], Zhang et al. [102]

2D-CNN

Gong et al. [103], Guo et al. [104], Huang et al. [105], Khodja et al. [106],

Li et al. [107], Wang et al. [108], Wang et al. [109], Wang et al. [110],

Xu et al. [111], Zhang et al. [112], Islam et al. [113], Kumar et al. [114]

Gear

1D-CNN

Liang et al. [115], Wu et al. [116], Zhao et al. [117], Li et al. [118]

2D-CNN

Chen et al. [119], Chen et al. [120], Han et al. [121], Li et al. [122],

Qiu et al. [123], Xin et al. [124], You et al. [125], Tang et al. [126]

Motor

1D-CNN

Ince et al. [127], Kao et al. [128]

2D-CNN

Hsueh et al. [129], Lee et al. [130], Yang et al. [131], Liu et al. [132],

Wen et al. [133], Shao et al. [134]

Turbine

1D-CNN

Zhong et al. [135], Chang et al. [136]

2D-CNN

Fu et al. [137], Jiang et al. [85]