Acoustic Anomaly Detection Using Convolutional Autoencoders in Industrial Processes

Author:

Duman Taha Berkay,Bayram Barış,İnce Gökhan

Publisher

Springer International Publishing

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimisation of Anomaly Detection in Video Processing Using Efficient Feature Engineering;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

2. Acoustic Anomaly Detection of Machinery using Autoencoder based Deep Learning;2024 32nd Southern African Universities Power Engineering Conference (SAUPEC);2024-01-24

3. Enhancing Sound-Based Anomaly Detection Using Deep Denoising Autoencoder;IEEE Access;2024

4. Designing a Deep Autoencoder Neural Network for Detecting Sound Anomalies in Smart Factories Using Unsupervised Learning;BIO Web of Conferences;2024

5. Autoencoder-Based Unsupervised Anomaly Detection in Induction Motors Diagnosis;2023 IEEE 11th International Conference on Systems and Control (ICSC);2023-12-18

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