Incipient fault diagnosis method for silicon single crystal growth assisted by deep learning

A novel intelligent diagnostic method combining SVM-RFE feature selection, CEEMDAN decomposition and reconstruction, entropy feature extraction, and DBN deep learning is proposed for detecting small faults in silicon single crystal growth.

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Publication Details

Journal
CrystEngComm
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ce00101c
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Incipient fault diagnosis method for silicon single crystal growth assisted by deep learning

Xuejun Ren, Yuyu Liu, Ding Liu, Shi Hai Wu
CrystEngComm
Industrial Vision Systems and Defect Detection
article

Incipient fault diagnosis method for silicon single crystal growth assisted by deep learning

Xuejun Ren, Yuyu Liu, Ding Liu, Shi Hai Wu
article en

Abstract

A novel intelligent diagnostic method combining SVM-RFE feature selection, CEEMDAN decomposition and reconstruction, entropy feature extraction, and DBN deep learning is proposed for detecting small faults in silicon single crystal growth.

CrystEngCommVol. 27(21)
Xi'an University of Technology (CN)
Openalex Percentile: Top 92%
Industrial Vision Systems and Defect Detection
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