APA (7th ed.) Citation

Liang, J., Shao, J., Wu, P., Li, Q., Lu, Y., Wang, Y., & Lei, Z. (2026). Power Transformer Breathing System Condition Monitoring Based on Pressure–Temperature Optical Sensing and Deep Learning Method. Energies (19961073), 19(5), 1130. https://doi.org/10.3390/en19051130

Chicago Style (17th ed.) Citation

Liang, Jiabi, Jian Shao, Peng Wu, Qun Li, Yuncai Lu, Yalin Wang, and Zhaokai Lei. "Power Transformer Breathing System Condition Monitoring Based on Pressure–Temperature Optical Sensing and Deep Learning Method." Energies (19961073) 19, no. 5 (2026): 1130. https://doi.org/10.3390/en19051130.

MLA (9th ed.) Citation

Liang, Jiabi, et al. "Power Transformer Breathing System Condition Monitoring Based on Pressure–Temperature Optical Sensing and Deep Learning Method." Energies (19961073), vol. 19, no. 5, 2026, p. 1130, https://doi.org/10.3390/en19051130.