Author:
Piltan Farzin,Kim Jong-Myon
Publisher
Springer International Publishing
Reference9 articles.
1. Gao, Z., Cecati, C., Ding, S.X.: A survey of fault diagnosis and fault-tolerant techniques—part I: fault diagnosis with model-based and signal-based approaches. IEEE Trans. Ind. Electron 4(62), 3757–3767 (2015)
2. Cecati, C.: A survey of fault diagnosis and fault-tolerant techniques—part II: fault diagnosis with knowledge-based and hybrid/active approaches. IEEE Trans. Ind. Electron 2(62), 3768–3774 (2015)
3. Piltan, F., et al.: Strict-feedback backstepping digital twin and machine learning solution in ae signals for bearing crack identification. Sensors 22(2), 539 (2022)
4. Piltan, F., Duong, B.P., Kim, J.-M.: Deep learning-based adaptive neural-fuzzy structure scheme for bearing fault pattern recognition and crack size identification. Sensors 21(6), 2102 (2021)
5. TayebiHaghighi, S., Koo, I.: SVM-based bearing anomaly identification with self-tuning network-fuzzy robust proportional multi-integral and smart autoregressive model. Appl. Sci. 11(6), 2784 (2021)