Standout Papers

Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and c... 2020 2026 2022 2024222
  1. Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms (2020)
    Masoud Jalayer, Carlotta Orsenigo et al. Computers in Industry

Immediate Impact

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Citing Papers

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2 intermediate papers

Works of Masoud Jalayer being referenced

Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms
2020 Standout

Author Peers

Author Last Decade Papers Cites
Masoud Jalayer 206 71 85 114 13 372
Xiaoli Zhao 304 117 36 170 19 431
Teng Wang 202 43 40 148 20 349
Meng Rao 274 59 26 225 20 443
Xiao Wang 315 66 25 79 21 435
Juxia Xiong 92 108 58 45 14 361
Pengcheng Jiang 297 34 27 189 12 384
Daqing Wu 101 115 52 52 8 381
Ke Zhu 201 146 22 128 27 432
Xinyan Li 162 102 25 97 11 363
Hanxin Chen 117 81 22 102 20 417

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2026