Switchboard Fire Detection System Using Expert Inference Method Based on Improved Fire Discrimination
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
http://link.springer.com/article/10.1007/s42835-019-00092-2/fulltext.html
Reference8 articles.
1. Land HB, Gammon T (2015) Addressing arc-flash problems in low-voltage switchboards: a case study in arc fault protection. IEEE Trans Ind Appl 51(2):1897–1908
2. Lee W-J, Sahni M, Methaprayoon K, Kwan C, Ren Z, Sheeley JM (2009) A novel approach for arcing fault detection for medium-/low-voltage switchgear. IEEE Trans Ind Appl 45(4):1475–1483
3. De Iacovo A, Venettacci C, Colace L, Scopa L, Foglia S (2017) PbS colloidal quantum dot visible–blind photodetector for early indoor fire detection. IEEE Sens J 17(14):4454–4459
4. Chi Rui, Zhe-ming Lu, Ji Qing-ge (2017) Real-time multi-feature based fire flame detection in video. IET Image Proc 11(1):31–37
5. Ahmad NS, Boon NL, Goh P (2018) Multi-sensor obstacle detection system via model-based state-feedback control in smart cane design for the visually challenged. IEEE Access 6:64182–64192
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