APA (7th ed.) Citation

Zhu, W., Miao, Q., Cao, Y., Huang, P., & Fan, H. (2025). An early fault online detection model of rolling bearing based on deep attention convolutional autoencoder and multi-decision fusion under variable operation conditions. Measurement : journal of the International Measurement Confederation, 253, 117752. https://doi.org/10.1016/j.measurement.2025.117752

Chicago Style (17th ed.) Citation

Zhu, Wenchang, Qiuhua Miao, Yudong Cao, Peng Huang, and Hongwei Fan. "An Early Fault Online Detection Model of Rolling Bearing Based on Deep Attention Convolutional Autoencoder and Multi-decision Fusion Under Variable Operation Conditions." Measurement : Journal of the International Measurement Confederation 253 (2025): 117752. https://doi.org/10.1016/j.measurement.2025.117752.

MLA (9th ed.) Citation

Zhu, Wenchang, et al. "An Early Fault Online Detection Model of Rolling Bearing Based on Deep Attention Convolutional Autoencoder and Multi-decision Fusion Under Variable Operation Conditions." Measurement : Journal of the International Measurement Confederation, vol. 253, 2025, p. 117752, https://doi.org/10.1016/j.measurement.2025.117752.