Influence of segmentation over feature measurement
Pattern Recognition Letters
A multistage adaptive thresholding method
Pattern Recognition Letters
A novel image thresholding method based on Parzen window estimate
Pattern Recognition
Learning to Recognize Objects with Little Supervision
International Journal of Computer Vision
Stock fraud detection using peer group analysis
Expert Systems with Applications: An International Journal
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In the last few decades the continuous monitoring of complex dynamic systems has become an increasingly important issue across diverse engineering areas. This paper presents a pattern recognition based system that uses visual-based efficient invariants features for continuous monitoring of induction motors. The procedures presented here are based on the image identification of the 3-D current state space patterns that allow the identification of distinct fault types and, furthermore, their corresponding severity. This automatic fault detection system deals with time-variant electric currents and is based on the identification of three-phase stator currents specified patterns. Several simulation and experimental results are also presented in order to verify the effectiveness of the proposed methodology.