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    Positioning Accuracy Reliability Analysis of Industrial Robots Considering Epistemic Uncertainty and Correlation 

    Source: Journal of Mechanical Design:;2022:;volume( 145 ):;issue: 002:;page 23303-1
    Author(s): Cao, Lixiong; Liu, Jie; Zhang, Jinhe; Jiang, Chao; Zhang, Dequan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Uncertainties widely existing in modeling parameters, such as link length, joint clearance, and rotation angle, have the serious impact on the motion performance of industrial robots. In this study, a reliability analysis ...
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    Evidence-Based Structural Uncertainty Quantification by Dimension Reduction Decomposition and Marginal Interval Analysis 

    Source: Journal of Mechanical Design:;2020:;volume( 142 ):;issue: 005:;page 051701-1
    Author(s): Cao, Lixiong; Liu, Jie; Jiang, Chao; Wu, Zhantao; Zhang, Zheng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Evidence theory has the powerful feature to quantify epistemic uncertainty. However, the huge computational cost has become the main obstacle of evidence theory on engineering applications. In this paper, an efficient ...
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