“…Many researchers have developed diagnostic methods by using ANNs to detect the problems of march-motors, electric motors (Bayır & Bay, 2004), rotating machine parts (Rajakarunakaran, Venkumar, Devaraj, & Rao, 2008), automobile engines, bearings, hydraulic servo-valves, servomotors, check-valves (Seong et al, 2005), wood sawing machines, metal cutting operations, gears, gearboxes (Chen & Wang, 2000;Samanta, 2004;Wuxing, Tse, Guicai, & Tielin, 2004), hydraulic systems (Demetgul, 2008;Sandt et al, 1997), pumps (Karkoub, Gad, & Rabie, 1999), gas turbines, Fisher Rosemount valves (Karpenko & Sepehri, 2002;Karpenko, Sepehri & Scuse, 2003), and compressors. Some of the commonly used ANN algorithms in fault diagnosis are Bp, ART2, Levenberg Marquart, Neuro-fuzzy (Wang, Golnaraghi, & Ismail, 2004), (Self Organization Feature Maps) SOFM (Jams a-Jounela, Vermasvuori, Enden, & Haavisto, 2003), (Learning Vector Quantisation) LVQ, and (Radial Basis Function) RBF algorithms (Parlos, Kim, & Bharadwaj, 2004).…”