Missing Data Repairing for Bearing Vibrations using Generative Adversarial Networks

Author:

Zhu Qingyu1ORCID,Zhang Tong1,Fan Guochao1,Hao Chuangbo1,Fu Gaosheng1

Affiliation:

1. Beijing Jinghang Institute of Computing and Communication, China Aerospace Science and Industry Corporation Limited, China

Publisher

ACM

Reference16 articles.

1. Improved sparsity-based adaptive vibration data repair method;Xie Xin;Journal of Vibration and Shock, 16.,2019

2. Pratama, Irfan , Adhistya Erna Permanasari, Igi Ardiyanto and Rini Indrayani . 2016 . "A review of missing values handling methods on time-series data." 2016 international conference on information technology systems and innovation (ICITSI). IEEE. Pratama, Irfan, Adhistya Erna Permanasari, Igi Ardiyanto and Rini Indrayani. 2016. "A review of missing values handling methods on time-series data." 2016 international conference on information technology systems and innovation (ICITSI). IEEE.

3. Sarda Kisan Amol Yerudkar and Carmen Del Vecchio. 2021. "Missing Data Imputation for Real Time-series Data in a Steel Industry using Generative Adversarial Networks." IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society. IEEE. Sarda Kisan Amol Yerudkar and Carmen Del Vecchio. 2021. "Missing Data Imputation for Real Time-series Data in a Steel Industry using Generative Adversarial Networks." IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society. IEEE.

4. A dual-head attention model for time series data imputation

5. YChe and Zhengping. 2018. "Recurrent neural networks for multivariate time series with missing values." Scientific reports 8.1: 1-12. YChe and Zhengping. 2018. "Recurrent neural networks for multivariate time series with missing values." Scientific reports 8.1: 1-12.

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