APA (7th ed.) Citation

Yuan, M., Zeng, M., Rao, F., He, Z., & Cheng, Y. (2025). An interpretable algorithm unrolling network inspired by general convolutional sparse coding for intelligent fault diagnosis of machinery. Measurement : journal of the International Measurement Confederation, 244, 116332. https://doi.org/10.1016/j.measurement.2024.116332

Chicago Style (17th ed.) Citation

Yuan, Menghan, Ming Zeng, Fengpei Rao, Zhiyi He, and Yiwei Cheng. "An Interpretable Algorithm Unrolling Network Inspired by General Convolutional Sparse Coding for Intelligent Fault Diagnosis of Machinery." Measurement : Journal of the International Measurement Confederation 244 (2025): 116332. https://doi.org/10.1016/j.measurement.2024.116332.

MLA (9th ed.) Citation

Yuan, Menghan, et al. "An Interpretable Algorithm Unrolling Network Inspired by General Convolutional Sparse Coding for Intelligent Fault Diagnosis of Machinery." Measurement : Journal of the International Measurement Confederation, vol. 244, 2025, p. 116332, https://doi.org/10.1016/j.measurement.2024.116332.