ART 2—an unsupervised neural network for PD pattern recognition and classification

Artificial identification system for transformer insulation aging

“…In this paper, multi-layer neural network is used for identification on MATLAB platform with high-speed mathematical operating capability for numerous data (Candela, Mirelli, & Schifani, 2000;Haykin, 1999;Karthikeyan, Gopal, & Venkatesh, 2006Kuo, 2007;Salama & Bartnikas, 2002). The neural network architecture used here consists three layers (input, hidden and output layer), while the learning rule is based on the proposed PSO-BP algorithm and the neuron of input and output layer are decided by the users as shown in Fig.…”

Artificial recognition system for defective types of transformers by acoustic emission

“…In this paper, multi-layer neural network is used for identification on MATLAB platform with high-speed mathematical operating capability for numerous data (Candela, Mirelli, & Schifani, 2000;Haykin, 1999;Karthikeyan, Gopal, & Venkatesh, 2006;Karthikeyan, Gopal, & Vimala, 2005;Salama & Bartnikas, 2002). The neural network architecture used here consists of three layers (input, hidden and output layers), while the learning rule is based on the proposed PSO-BP algorithm and the neuron of input and output layer are decided by the users as shown in Fig.…”

Feature frequencies extraction and fusion of vibration noises of air-conditioner electromotor using adaptive resonance theory

“…ART-2 neural network is developed by Carpenter and Grossberg [3] and has wide application in many fields such as pattern recognition [4], fault diagnosis [5,6], Chinese character recognition [7], robot behavior learning [8], information retrieval and cluster in database management systems [9], even for the analysis of Web browsing paths in electronic commerce [10], ART-2 also has its application. Some ideas of this theory are also worth referring to realize the extraction and fusion of feature frequencies from many different spectra of vibration noise of airconditioner electromotor.…”