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Proceedings Paper

Anomaly detection of blast furnace condition using tuyere cameras
Author(s): Naoshi Yamahira; Takehide Hirata; Kazuro Tsuda; Yasuyuki Morikawa; Yousuke Takata
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Paper Abstract

We present a method of anomaly detection using multivariate statistical process control(MSPC) to detect the abnormal behaviors of a blast furnace. Tuyere cameras attached circumferentially at the lower side of a blast furnace are used to monitor the inside of the furnace and this method extracts abnormal behaviors of intensities. It is confirmed that with our method, detecting timing is earlier than operators’ notice. Besides, misalignment of cameras doesn’t affect detecting performance, which is important property in actual use.

Paper Details

Date Published: 27 September 2016
PDF: 7 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 997113 (27 September 2016); doi: 10.1117/12.2237716
Show Author Affiliations
Naoshi Yamahira, JFE Steel Corp. (Japan)
Takehide Hirata, JFE Steel Corp. (Japan)
Kazuro Tsuda, JFE Steel Corp. (Japan)
Yasuyuki Morikawa, JFE Steel Corp. (Japan)
Yousuke Takata, JFE Steel Corp. (Japan)


Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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