Enhancing Latent Defect Detection in Built-In Spindle Assembly Lines Through Vibration Data Analysis

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Bibliografski detalji
Izdano u:	Shock and Vibration vol. 2025 (2025)
Glavni autor:	Kuo-Hao, Li
Daljnji autori:	Wang, Chao-Nan, Yao-Chi, Tang
Izdano:	John Wiley & Sons, Inc.
Teme:	Accuracy Scientific visualization Datasets Spindles Quality control Wavelet transforms Defects Numerical controls Customer feedback Optimization techniques Fast Fourier transformations Signal processing Interdisciplinary aspects Manufacturing Clustering Machine learning Visualization Efficiency Assembly lines Product reliability Data analysis Methodology Artificial intelligence Fourier transforms Automation Reliability Optimization Industrial applications Algorithms Vibration analysis Methods
Online pristup:	Citation/Abstract Full Text Full Text - PDF
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