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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)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)On Designing H∞ Fault Detection Filter for Linear Discrete Time-Varying Systems., , and . IEEE Trans. Automat. Contr., 55 (7): 1689-1695 (2010)Multi-freedom design of fault detection filter for linear time-delay systems., , and . ICARCV, page 1630-1634. IEEE, (2004)An Optimal Data-Driven Approach to Distribution Independent Fault Detection., , , and . IEEE Trans. Ind. Informatics, 16 (11): 6826-6836 (2020)An Improved Random Forest Algorithm of Fault Diagnosis for Rotating Machinery., , , and . CAA SAFEPROCESS, page 12-17. IEEE, (2019)The system dynamics analysis, resilient and fault-tolerant control for cyber-physical systems., , , , and . CoRR, (2024)An overview of recent advances in model-based event-triggered fault detection and estimation., , , and . Int. J. Syst. Sci., 54 (4): 929-943 (March 2023)Attribute Transfer-based Zero-Shot Learning for Industrial Fault Diagnosis., , and . SAFEPROCESS, page 1-6. IEEE, (2023)