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Fault diagnosis method of hydraulic system based on fusion of neural network and D-S evidence theory 被引量:2
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作者 LIU Bao-jie YANG Qing-wen WU Xiang 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2016年第4期368-374,共7页
According to fault type diversity and fault information uncertainty problem of the hydraulic driven rocket launcher servo system(HDRLSS) , the fault diagnosis method based on the evidence theory and neural network e... According to fault type diversity and fault information uncertainty problem of the hydraulic driven rocket launcher servo system(HDRLSS) , the fault diagnosis method based on the evidence theory and neural network ensemble is proposed. In order to overcome the shortcomings of the single neural network, two improved neural network models are set up at the com-mon nodes to simplify the network structure. The initial fault diagnosis is based on the iron spectrum data and the pressure, flow and temperature(PFT) characteristic parameters as the input vectors of the two improved neural network models, and the diagnosis result is taken as the basic probability distribution of the evidence theory. Then the objectivity of assignment is real-ized. The initial diagnosis results of two improved neural networks are fused by D-S evidence theory. The experimental results show that this method can avoid the misdiagnosis of neural network recognition and improve the accuracy of the fault diagnosis of HDRLSS. 展开更多
关键词 multi sensor information fusion fault diagnosis D-S evidence theory BP neural network
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A novel approximation of basic probability assignment based on rank-level fusion 被引量:4
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作者 Yang Yi Han Deqiang +1 位作者 Han Chongzhao Cao Feng 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2013年第4期993-999,共7页
Belief functions theory is an important tool in the field of information fusion. However, when the cardinality of the frame of discernment becomes large, the high computational cost of evidence combination will become... Belief functions theory is an important tool in the field of information fusion. However, when the cardinality of the frame of discernment becomes large, the high computational cost of evidence combination will become the bottleneck of belief functions theory in real applications. The basic probability assignment (BPA) approximations, which can reduce the complexity of the BPAs, are always used to reduce the computational cost of evidence combination. In this paper, both the cardinalities and the mass assignment values of focal elements are used as the criteria of reduction. The two criteria are jointly used by using rank-level fusion. Some experiments and related analyses are provided to illustrate and justify the proposed new BPA approximation approach. 展开更多
关键词 Belief approximation Distance of evidence evidence combination information fusion Rank-level fusion
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A Study on the Model of Fact‑Finding in Criminal Investigation
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作者 Mohan Pan Kaixin Zheng 《Journal of Forensic Science and Medicine》 2019年第3期156-163,共8页
Fact‑finding,as the foundation of a judicial decision,has been an important consideration in China’s judicial reform.This study introduces the theory of evidence‑based information and falsification methods in the fac... Fact‑finding,as the foundation of a judicial decision,has been an important consideration in China’s judicial reform.This study introduces the theory of evidence‑based information and falsification methods in the fact‑finding procedure of criminal investigations and proposes a paradigm for fact‑finding using combined pairs of approaches:individual evidence examination and global analysis,the objective basis and subjective perception of fact‑finders,and methods of verification and falsification.The working procedure of the paradigm is illustrated with the objective of making a contribution to the improvement of the existing model of fact‑finding in the criminal justice process. 展开更多
关键词 Criminal cases falsification methods subjective perception theory of evidence‑based information
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