Zhu, B.; Yang, X.; Wang, J.; Shao, C.; Li, F.; Hong, B.; Song, D.; Guo, J.
Third-Party Damage Model of a Natural Gas Pipeline Based on a Bayesian Network. Energies 2022, 15, 6067.
https://doi.org/10.3390/en15166067
AMA Style
Zhu B, Yang X, Wang J, Shao C, Li F, Hong B, Song D, Guo J.
Third-Party Damage Model of a Natural Gas Pipeline Based on a Bayesian Network. Energies. 2022; 15(16):6067.
https://doi.org/10.3390/en15166067
Chicago/Turabian Style
Zhu, Baikang, Xu Yang, Jun Wang, Chuanhui Shao, Fei Li, Bingyuan Hong, Debin Song, and Jian Guo.
2022. "Third-Party Damage Model of a Natural Gas Pipeline Based on a Bayesian Network" Energies 15, no. 16: 6067.
https://doi.org/10.3390/en15166067
APA Style
Zhu, B., Yang, X., Wang, J., Shao, C., Li, F., Hong, B., Song, D., & Guo, J.
(2022). Third-Party Damage Model of a Natural Gas Pipeline Based on a Bayesian Network. Energies, 15(16), 6067.
https://doi.org/10.3390/en15166067