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    Fault Detection of Single Cell Battery Inconsistency in Electric Vehicle Based on Fireworks Algorithm Optimized Deep Belief Network 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 001:;page 11011
    Author(s): Lujun, Wang;Bin, Pan;Jiuchun, Jiang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Because the fault characteristics of inconsistent fault single battery are not obvious in the electric vehicle battery pack, it is difficult to identify the inconsistent fault. Therefore, this paper proposes an inconsistent ...
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    Simple and Effective Fault Diagnosis Method of Power LithiumIon Battery Based on GWADBN 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 003:;page 31009
    Author(s): Bin, Pan;Wen, Gao;Yuhang, Peng;Zhili, Hu;Lujun, Wang;Jiuchun, Jiang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In order to improve the accuracy of battery pack inconsistency fault detection, an optimal deep belief network (DBN) single battery inconsistency fault detection model based on the gray wolf algorithm (GWA) was proposed. ...
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    Energy Analysis for Transient-Leak Interaction and Implication to Leak Detection in Water Pipeline Systems 

    Source: Journal of Hydraulic Engineering:;2023:;Volume ( 149 ):;issue: 009:;page 04023031-1
    Author(s): Bin Pan; Alireza Keramat; Huan-Feng Duan
    Publisher: ASCE
    Abstract: Any transient event in a pipeline system is an energy process, implying that the dynamic response can be interpreted and analyzed through energy transfer between different forms, including potential (internal), kinetic, ...
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    Simple and Effective Fault Diagnosis Method of Power Lithium-Ion Battery Based on GWA-DBN 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 003:;page 31009-1
    Author(s): Bin, Pan; Wen, Gao; Yuhang, Peng; Zhili, Hu; Lujun, Wang; Jiuchun, Jiang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In order to improve the accuracy of battery pack inconsistency fault detection, an optimal deep belief network (DBN) single battery inconsistency fault detection model based on the gray wolf algorithm (GWA) was proposed. ...
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