Detecting methane outbreaks from time series data with deep neural networks

Krzysztof Pawłowski; Karol Kurach

doi:10.1007/978-3-319-25783-9_42

Detecting methane outbreaks from time series data with deep neural networks

Krzysztof Pawłowski, Karol Kurach

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

Hazard monitoring systems play a key role in ensuring people’s safety. The problem of detecting dangerous levels of methane concentration in a coal mine was a subject of IJCRS’15 Data Challenge competition. The challenge was to predict, from multivariate time series data collected by sensors, if methane concentration reaches a dangerous level in the near future. In this paper we present our solution to this problem based on the ensemble of Deep Neural Networks. In particular, we focus on Recurrent Neural Networks with Long Short-Term Memory (LSTM) cells.

Original language	English (US)
Title of host publication	Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 15th International Conference, RSFDGrC 2015, Proceedings
Editors	Yiyu Yao, Jerzy W. Grzymala-Busse, Hong Yu, Qinghua Hu
Publisher	Springer Verlag
Pages	475-484
Number of pages	10
ISBN (Print)	9783319257822
DOIs	https://doi.org/10.1007/978-3-319-25783-9_42
State	Published - 2015
Externally published	Yes
Event	15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015 - Tianjin, China Duration: Nov 20 2015 → Nov 23 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9437
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015
Country	China
City	Tianjin
Period	11/20/15 → 11/23/15

Keywords

Ensemble methods
Hazard monitoring systems
Machine learning
Recurrent neural networks
Time series forecasting

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-25783-9_42

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Cite this

Pawłowski, K., & Kurach, K. (2015). Detecting methane outbreaks from time series data with deep neural networks. In Y. Yao, J. W. Grzymala-Busse, H. Yu, & Q. Hu (Eds.), Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 15th International Conference, RSFDGrC 2015, Proceedings (pp. 475-484). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9437). Springer Verlag. https://doi.org/10.1007/978-3-319-25783-9_42

Detecting methane outbreaks from time series data with deep neural networks. / Pawłowski, Krzysztof; Kurach, Karol.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 15th International Conference, RSFDGrC 2015, Proceedings. ed. / Yiyu Yao; Jerzy W. Grzymala-Busse; Hong Yu; Qinghua Hu. Springer Verlag, 2015. p. 475-484 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9437).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pawłowski, K & Kurach, K 2015, Detecting methane outbreaks from time series data with deep neural networks. in Y Yao, JW Grzymala-Busse, H Yu & Q Hu (eds), Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 15th International Conference, RSFDGrC 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9437, Springer Verlag, pp. 475-484, 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015, Tianjin, China, 11/20/15. https://doi.org/10.1007/978-3-319-25783-9_42

Pawłowski K, Kurach K. Detecting methane outbreaks from time series data with deep neural networks. In Yao Y, Grzymala-Busse JW, Yu H, Hu Q, editors, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 15th International Conference, RSFDGrC 2015, Proceedings. Springer Verlag. 2015. p. 475-484. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-25783-9_42

Pawłowski, Krzysztof ; Kurach, Karol. / Detecting methane outbreaks from time series data with deep neural networks. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 15th International Conference, RSFDGrC 2015, Proceedings. editor / Yiyu Yao ; Jerzy W. Grzymala-Busse ; Hong Yu ; Qinghua Hu. Springer Verlag, 2015. pp. 475-484 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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