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浏览/检索结果: 共3条，第1-3条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Risk identification of third-party damage on oil and gas pipelines through the Bayesian network 期刊论文 JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2018, 卷号: 54, 页码: 163-178 - 收藏  |  浏览/下载：3/0  |  提交时间：2020/01/03 Oil and gas pipeline  Third-party damage  Risk identification  Bayesian network   Use of community mobile phone big location data to recognize unusual patterns close to a pipeline which may indicate unauthorized activities and possible risk of damage 期刊论文 PETROLEUM SCIENCE, 2017, 卷号: 14, 页码: 395-403 作者:  Dong, Shao-Hua;  Zhang, He-Wei;  Zhang, Lai-Bin;  Zhou, Li-Jian;  Guo, Lei 收藏  |  浏览/下载：3/0  |  提交时间：2020/01/03 Pipeline  Big location data  Third-party damage  Model  Prevention   Study on quantitative risk assessment model of the third party damage for natural gas pipelines based on fuzzy comprehensive assessment 会议论文 12th International Conference on Damage Assessment of Structures (DAMAS), Kyushu Inst Technol, Kitakyushu, JAPAN, 2017-07-10 - 收藏  |  浏览/下载：2/0  |  提交时间：2020/01/03 natural gas pipelines  third party damage  quantitative risk assessment model  AHP  FCE