文献类型：期刊文献

英文题名：Improved D-S evidence theory for pipeline damage identification

作者：Zhang, Jia-Cheng[1];Zhou, Shao-Ping[1];Li, Yong[1];Su, Yong-Sheng[1];Zhang, Pu-Gen[1]

机构：[1]E China Univ Sci & Technol, Shanghai 200237, Peoples R China

年份：2015

卷号：17

期号：7

起止页码：3527

外文期刊名：JOURNAL OF VIBROENGINEERING

收录：;EI(收录号：20155001656740);WOS:【SCI-EXPANDED(收录号:WOS:000365800100012)】；

基金：This research was supported by the National Natural Science Foundation of China (Grant No. 51175178).

语种：英文

外文关键词：damage identification; data fusion; D-S evidence theory; pipeline

摘要：Identification of the location of damages in pipeline is important and still needs to be improved due to the problems such as limited number of sensors that can be placed in the pipeline, uncertainty of the working environment. In this paper, a new approach is presented, which shows an improved diagnosis performance. The new approach is based on combining an improved D-S evidence theory and an improved index which is based on three specific identification techniques known to the pipeline community. The improved D-S evidence theory is based on the idea of preserving similar evidences and using weighted average evidence to represent the conflict evidence. The paper also presents an experiment to verify the new approach by comparing the result of the new approach with the traditional D-S approach. The experimental result has shown that the new approach is promising. The new approach also renders the possibility to visualize the location of the damages in the pipeline, which facilitates the access to the damage for repair and any compensation measure.