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    Indirect Prediction of Spindle Rotation Error Through Vibration Signal Based on Supervised Local Mean Decomposition Filter Fusion and Bi-LSTM Classification Network 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 002:;page 21102-1
    Author(s): Liang, Jianhong; Wang, Liping; Yu, Guang; Wu, Jun; Wang, Dong; Lin, Song
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Spindle rotation error directly correlates with the quality of mechanical processing. Currently, the error was mainly converted through measuring the distance information of standard component installed at the tool position, ...
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    Stress Distribution of the Power Section Cup of Pipeline Inspection Gauges by Finite Element Method 

    Source: Journal of Pipeline Systems Engineering and Practice:;2018:;Volume ( 009 ):;issue: 002
    Author(s): Cao Yu-Guang;Zhen Ying;Shi Yong-Jin;Zhang Shi-Hua;Sun Yong-Tai;Nie Wen-Jun
    Publisher: American Society of Civil Engineers
    Abstract: The pipeline inspection gauges (PIGs) are often blocked in actual operation. As the PIG ran in the straight pipeline, elbow, and anomaly, the large deformation and stress state of the power section cup were analyzed by a ...
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    Prediction of the Driving Force for the Bidirectional Pig Based on the Cantilever-Kelvin Combination Model 

    Source: Journal of Pipeline Systems Engineering and Practice:;2021:;Volume ( 012 ):;issue: 002:;page 04021004-1
    Author(s): Yu-Guang Cao; Lei Zhang; Chang Liu; Xu-Yang Li; Yun-Gang Wei; Yong-Tai Sun
    Publisher: ASCE
    Abstract: The precise prediction of the driving force has significant meaning in preventing blockage accidents in oil and gas pipeline pigging engineering. In this paper, a novel prediction model is established for the typical ...
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