APA (7th ed.) Citation

Liu, K., Mao, W., Shi, H., & Liang, X. (2021). A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting. IEEE access, 9, 159684-159698. https://doi.org/10.1109/ACCESS.2021.3132353

Chicago Style (17th ed.) Citation

Liu, Keying, Wentao Mao, Huadong Shi, and Xihui Liang. "A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting." IEEE Access 9 (2021): 159684-159698. https://doi.org/10.1109/ACCESS.2021.3132353.

MLA (9th ed.) Citation

Liu, Keying, et al. "A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting." IEEE Access, vol. 9, 2021, pp. 159684-159698, https://doi.org/10.1109/ACCESS.2021.3132353.

Warning: These citations may not always be 100% accurate.