Abnormal Vibration Fault Diagnosis of Reducer Based on Bayesian Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4399-5_48
Reference19 articles.
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2. Li, J., Li, M., Zhang, J., Jiang, G.: Frequency-shift multiscale noise tuning stochastic resonance method for fault diagnosis of generator bearing in wind turbine. Measurement 133, 421–432 (2019)
3. Wang, T., Han, Q., Chu, F., Feng, Z.: Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: a review. Mech. Syst. Sig. Process. 126, 662–685 (2019)
4. Misbah, I., Lee, C.K.M., Keung, K.L.: Fault diagnosis in rotating machines based on transfer learning: literature review. Knowl. Based Syst. 283, 111158 (2024)
5. Zhou, J., Cheng, J., Wu, X., Wang, J., Yang, Y.: Adaptive quaternion multivariate local characteristic-scale decomposition and its application to gear fault diagnosis. Digit Signal Process. 129, 103655 (2022)
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