Engine Failure Detection of Raw Mill Machine via Discrete Variational Auto-encoder-Reference-Cited by-同舟云学术

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Engine Failure Detection of Raw Mill Machine via Discrete Variational Auto-encoder

Published:2022-11-02 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Data and Software Engineering (ICoDSE)
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Author:

Abruzi Izhar Brur¹,Iqbal Mohammad¹,Mukhlash Imam¹,Rukmi Alvida Mustika¹,Kurniati Nani²,Kimura Masaomi³

Affiliation:

1. Institut Teknologi Sepuluh Nopember Sukolilo,Department of Mathematics,Surabaya,Indonesia,60111

2. Institut Teknologi Sepuluh Nopember Sukolilo,Department of Industrial and Systems Engineering,Surabaya,Indonesia,60111

3. Shibaura Institute of Technology,Department of Computer Science and Engineering,Koto,Tokyo,Japan,135-8548

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9971788/9971812/09972209.pdf?arnumber=9972209

Reference24 articles.

1. 2018. Efficient gan-based anomaly detection;zenati;ArXiv Preprint,2018

2. GANomaly: Semi-supervised anomaly detection via adversarial training;akcay;ACCV,2018

3. Wasserstein Generative Adversarial Networks;arjovsky;ICML,2017

4. Unpaired image-to-image translation using cycle-consistent adversarial networks;zhu;ICCV,2017

5. Unsupervised Sequential Outlier Detection With Deep Architectures

Cited by 1 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. Raw Mill Engine Failure Detection from Transformer Gated Convolutional Unit Networks;2023 IEEE International Conference on Data and Software Engineering (ICoDSE);2023-09-07

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