Classification of unbalance and misalignment in induction motors using orbital analysis and associative memories

Author:

Juan Carbajal-Hernández José,Sánchez-Fernández Luis P.,Hernández-Bautista Ignacio,Medel-Juárez José de J.,Sánchez-Pérez Luis A.

Funder

Center of Computer Research of the National Polytechnic Institute

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference62 articles.

1. Austin, J. 1987. ADAM: A distributed associative memory for scene analysis, in: Proceedings of First International Conference on Neural Networks, pp. 285–295.

2. Model based fault diagnosis of a rotor–bearing system for misalignment and unbalance under steady-state condition;Arun;J. Sound Vibr.,2009

3. Multi-sensor data fusion using support vector machine for motor fault detection;Banerjee;Inform. Sci. Elsevier,2012

4. New algorithm for efficient pattern recall using a static threshold with the Steinbuch Lernmatrix;Carbajal;Connect. Sci.,2011

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