Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection. [PDF]
Jachymczyk U, Knap P, Lalik K.
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Machine Condition Monitoring System Based on Edge Computing Technology. [PDF]
Halenar I +3 more
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Intelligent Condition Monitoring of High-Formwork Support Systems: A Hybrid FEM-Deep Learning Approach with Large Language Model Integration. [PDF]
Zhao L, Mbachu J, Liu L, Zhang R.
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Wind turbine condition monitoring dataset of Fraunhofer LBF. [PDF]
Mostafavi A, Friedmann A.
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A Novel Tool Condition Monitoring Technique of Determining Insert Flank Wear Width of Indexable Face Milling Tools Using On-Machine Laser Tool Setters. [PDF]
Fang T, Chen Z, Feng H, Chen P, Chang Z.
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Improved Entropy-Based Condition Monitoring for Pressure Pipeline Through Acoustic Denoising. [PDF]
Wan Y, Lin S, Jin C, Gao Y, Yang Y.
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Research on the condition monitoring method of unmanned aerial vehicle based on improved multivariate state estimation technique. [PDF]
Zhou H, Zhou J, Li Y, Cai F.
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Condition monitoring and multi-fault classification of hydraulic systems using multivariate functional data analysis. [PDF]
Yildirim C, Franco-Pereira AM, Lillo RE.
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Optimization of Decision Support Technology for Offshore Oil Condition Monitoring with Carbon Neutrality as the Goal in the Enterprise Development Process. [PDF]
Gao S +6 more
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Intelligent fault diagnosis and operation condition monitoring of transformer based on multi-source data fusion and mining. [PDF]
Cui J, Kuang W, Geng K, Jiao P.
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