Dual-FBG bearing fault probe based on a CNN-LSTM-encoder network

A centimeter-sized bearing fault probe based on dual-fiber Bragg grating vibration sensing is proposed. The probe can provide multi-carrier heterodyne vibration measurements based on swept source optical coherence tomogra-phy technology and the synchrosqueezed wavelet transform method to obtain awider vibration frequency response range and collect more accurate vibration data. For the sequential characteristics of bearing vibration signals, we propose a convolutional neural network with long short-term memory and transformer encoder. This method is proven in bearing fault classification under variable working conditions, and the accuracy rate reaches 99.65%. (c) 2023 Optica Publishing Group