id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_6bfvqtsj4bb4blfcoovfzbfgoi	C.A. Laurentys	A novel Artificial Immune System for fault behavior detection	2011	10	.pdf	application/pdf	6344	917	63	In this article, Natural Killer (NK) immune cells mechanisms inspired an AIS. DAMADICS benchmark was applied to compare the proposed AIS performance to others fault detection applications such as intrusion detection (Powers & He, 2008), optimization algorithms (Paquete & Stutzle, 2009), robust control (Guimaraes, Palhares, Campelo, & Igarashi, 2007) and others (DeCastro mechanisms (Lanier, 2008; Larrea, Alvarez, Soto, Vazquez, & Gonzalez, 2008; Luci & Tomasello, 2008) to enable AEM fault detection. This section describes Natural Killer cells recent immune literature and details key features that inspired the proposed AIS. negative and positive signals initiated after engagement of cell surface inhibitory and activating receptors (Raulet et al., 2001). It is important to mention the biological analogy with the algorithm using the ''At least one'' hypothesis and the ''Zero sum model'' for initiating the NK Cells receptors expression (Raulet et al., This paper has proposed and validated a novel Artificial Immune System (AIS) based approach for fault detection inspired	./cache/work_6bfvqtsj4bb4blfcoovfzbfgoi.pdf	./txt/work_6bfvqtsj4bb4blfcoovfzbfgoi.txt