Zacharias Voulgaris

Zacharias Voulgaris and Chris Sconyers
Submission Type: 
Full Paper
Supporting Agencies (optional): 
Impact Technologies

A novel approach to feature extraction, capable of generating a number of robust features in an automated way, is introduced. Although the proposed method focuses on features on the frequency domain for vibration data, it can be extended on different types of features. The method comprises of two simple models for the feature generation and a Particle Swarm Optimization system for establishing optimum or near optimum parameters for these models. The generated features are evaluated with a number of metrics, before they are used for diagnosis purposes.

Publication Control Number: 
Submission Keywords: 
feature extraction
fault diagnosis
particle swarm optimization
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