참고문헌 (13)

1. Choi, S. and Lee, D., Real-Time Prediction for Product？Surface Roughness by Support Vector Regression,？Journal of Korean Society of Industrial and Systems？Engineering, 2021, Vol. 44, Issue 3, pp. 117-124. 

   원문보기 상세보기

2. Ha, Y.W., Yang, H.C., Yoo, K.H., Park, J.P., and Wang,？G.N., FGLS estimation for process cycle pattern extraction and anomaly detection using Chi-square distribution, In Proceedings of the Korean Institute of？Industrial Engineers, 2022, pp. 4029-4036. 

3. Jin, S.J., Yoo, S.C., Kim, N.G., Ha, Y.W., and Wang,？G.N., Welding process time series data anomaly detection？using AutoEncoder / Isolation Forest algorithm, In？Proceedings of the Korean Institute of Industrial？Engineers, 2022, pp. 4130-4135. 

4. Jung, J. and Jin, K.H., Anomalous Records Detection？in Process data using Robust Linear Regression, In？Proceedings of Korea Institute of information and？Communication Engineering, 2022, pp. 513-515. 

5. Jung, M.Y., Yu, G.H., Kim, N.K., Jin, J.S., Yoo, S.C.,？and Wang, G.N., Welding process anomaly detection？using GMM-Mahalanobis distance, In Proceedings of？the Korea Society of Manufacturing Technology and？Engineering, 2021, pp. 5873-5878. 

6. Kim, S.Y., Lee, J.Y., Mok, C,H., Kim, S.H., Moon,？S.H., Kyeong, Y.Y., Chin, Y.G., Lee, Y.G., Choi, J.M.,？and Kim, S.B., Prediction of production process equipment defects using explainable outlier detection algorithm, In Proceedings of the Korean Institute of Industrial？Engineers, 2021, pp. 428-442. 

7. Kim, Y.S., Performance Evaluation of Sensor Pattern？Anomaly Detection Using Deep Learning, [dissertation],？[Incheon, Korea]: InCheon University, 2018. 

8. Lee, H.Y., Kim, Y.J., and Kim, C.W., Process anomaly？detection based on deep learning, In Proceedings of the？Korean Institute of Industrial Engineers, 2016, pp.？5306-5323. 

9. Lee, J.H. and Cho, S.J. Anomaly detection on the process？utilizing robust deep autoencoder, In Proceedings of the？Korean Institute of Industrial Engineers, 2019, pp.？2729-2750. 

10. Lee, J.H., Kim, J.H., Hwang, J.B., and Kim, S.S., A？Study on Fault Detection of Cycle-based Signal using？Wavelet Transform, Journal of The Korea Society For？Simulation, 2007, Vol. 16, No. 4, pp.13-22. 

11. Lee, S.H. and Baek, J.G., Manufacturing Process？Anomaly Detection Using Adversarial Autoencoder with？Multiple Discriminator, Journal of the Korean Institute？of Industrial Engineers, 2021, Vol. 47, No. 2, pp.217-223. 

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12. Park, C.S. and Kim, H.S., A Study on Defect Prediction？through Real-time Monitoring of Die-Casting Process？Equipment, Journal of Korean Society of Industrial and？Systems Engineering, 2022, Vol. 45, Issue 4, pp.157-166. 

    원문보기 상세보기

13. Yoo, G.H., Yang, H.C., and Wang, G.N., Abnomal detection of the mold cylinder temperature cycle using？1D CNN, In Proceedings of the Korean Institute of？Industrial Engineers, 2021, pp.5873-5878 

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