Publisher
Springer Nature Singapore
Reference24 articles.
1. Tian, Z.G., Wang, W.: Special issue on machine fault diagnostics and prognostics. Chinese J. Mech. Eng. 30(6), 1283–1284 (2017)
2. Yaguo, L.E.I., Feng, J.I.A., Detong, K.O.N.G., et al.: Opportunities and challenges of mechanical intelligent fault diagnosis based on big data. J. Mech. Eng. 54(5), 94–104 (2018)
3. Sheppard, J.W., Kaufman, M.A.: A Bayesian approach to diagnosis and prognosis using built-in test. IEEE Trans. Instrum. Meas. 54(3), 1003–1018 (2005)
4. Li, C.Z., Zheng, J.D., Pan, H.Y., Liu, Q.Y.: Fault diagnosis method of rolling bearings based on refined composite multiscale dispersion entropy and support vector machine. China Mech. Eng. 30(14), 1713 (2019)
5. Wen, L., Li, X., Gao, L.: A new two-level hierarchical diagnosis network based on convolutional neural network. IEEE Trans. Instrum. Meas. 69(2), 330–338 (2019)