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作 者:WEN ChengLin XU XiaoBin JIANG HaiNa ZHOU Zhe
机构地区:[1]School of Automation,Hangzhou DianZi University,Hangzhou 310018,China [2]Department of Automation and Tsinghua National Laboratory for Information Science and Technology,Tsinghua University,Beijing 100049,China
出 处:《Science China(Information Sciences)》2012年第3期551-557,共7页中国科学(信息科学)(英文版)
基 金:supported by National Key Technology Research and Development Program Project (Grant No.2009BAG12A08);National Natural Science Foundation of China (Grant Nos. 60874105, 60934009, 60974063,61034006, 61004070, 61104019),;Postdoctoral Science Foundation of China (Grant No. 20100470353)
摘 要:A new combination rule based on Dezert-Smarandache theory (DSmT) is proposed to deal with the conflict evidence resulting from the non-exhaustivity of the discernment frame. A two-dimensional measure factor in Dempster-Shafer theory (DST) is extended to DSmT to judge the conflict degree between evidence. The original DSmT combination rule or new DSmT combination rule can be selected for fusion according to this degree. Finally, some examples in simultaneous fault diagnosis of motor rotor are given to illustrate the effectiveness of the proposed combination rule.A new combination rule based on Dezert-Smarandache theory (DSmT) is proposed to deal with the conflict evidence resulting from the non-exhaustivity of the discernment frame. A two-dimensional measure factor in Dempster-Shafer theory (DST) is extended to DSmT to judge the conflict degree between evidence. The original DSmT combination rule or new DSmT combination rule can be selected for fusion according to this degree. Finally, some examples in simultaneous fault diagnosis of motor rotor are given to illustrate the effectiveness of the proposed combination rule.
关 键 词:DSmT rule of combination open frame of discernment evidence conflict simultaneous faultsdiagnosis generalized basic probability assignment
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