APA (7th ed.) Citation

Ru, X., Jin, R., Peng, L., Qi, Y., & Hou, L. (2024). Fault diagnosis of needle selector drive parts based on adaptive stochastic resonance with improved generative adversarial networks. Journal of Industrial Textiles, 1. https://doi.org/10.1177/15280837241299686

Chicago Style (17th ed.) Citation

Ru, Xin, Renjie Jin, Laihu Peng, Yubao Qi, and Liangmei Hou. "Fault Diagnosis of Needle Selector Drive Parts Based on Adaptive Stochastic Resonance with Improved Generative Adversarial Networks." Journal of Industrial Textiles 2024: 1. https://doi.org/10.1177/15280837241299686.

MLA (9th ed.) Citation

Ru, Xin, et al. "Fault Diagnosis of Needle Selector Drive Parts Based on Adaptive Stochastic Resonance with Improved Generative Adversarial Networks." Journal of Industrial Textiles, 2024, p. 1, https://doi.org/10.1177/15280837241299686.