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An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples.

, , , , , and . Neurocomputing, (March 2024)

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A Probabilistic Approach to Robust Fault Detection for a Class of Nonlinear Systems., , , and . IEEE Trans. Ind. Electron., 64 (5): 3930-3939 (2017)A fault detection scheme for linear discrete-time systems with an integrated online performance evaluation., , , and . Int. J. Control, 87 (12): 2511-2521 (2014)An Improved Fault Diagnosis Method of Rotating Machinery Using Sensitive Features and RLS-BP Neural Network., , , and . IEEE Trans. Instrum. Meas., 69 (4): 1585-1593 (2020)Parity space-based fault detection for linear discrete time-varying systems with unknown input., , and . Autom., (2015)An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples., , , , , and . Neurocomputing, (March 2024)A projection-based method of fault detection for linear discrete time-varying systems., and . Int. J. Systems Science, 44 (5): 820-830 (2013)A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors., , , , and . Neurocomputing, (2018)Attribute Transfer-based Zero-Shot Learning for Industrial Fault Diagnosis., , and . SAFEPROCESS, page 1-6. IEEE, (2023)Dynamic Event-Triggered Fault Detection for A Kind of Nonlinear Time-Varying Systems with Channel Fading., , , and . CAA SAFEPROCESS, page 1-6. IEEE, (2021)Fault detection filter design for LTI system with time delays., , , and . CDC, page 1467-1472. IEEE, (2003)