Deep-Learning-Based Approach to Anomaly Detection Techniques for Large Acoustic Data in Machine Operation. | Sensors (Basel);21(16)2021 Aug 12. | MEDLINE

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Deep-Learning-Based Approach to Anomaly Detection Techniques for Large Acoustic Data in Machine Operation.

Ahn, Hyojung; Yeo, Inchoon.

Affiliation

Ahn H; Korea Aerospace Research Institute, Daejeon 34133, Korea.
Yeo I; Fourgoodcompany Co., Ltd., Sejong 30130, Korea.

Sensors (Basel) ; 21(16)2021 Aug 12.

Article in En | MEDLINE | ID: mdl-34450888

Subject(s)

Deep Learning; Acoustics; Algorithms; Memory, Long-Term; Neural Networks, Computer

Key words

anomaly detection (AD); convolutional neural network; large acoustic data

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Country of publication: Switzerland

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Country of publication: Switzerland