Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52627
Title: Novel method for early bearing fault detection based on dynamic stability measure
Authors: Diaz, Moises 
Henriquez, P. 
Ferrer Ballester, Miguel Ángel 
Alonso Hernández, Jesús Bernardino 
Pirlo, giuseppe
Impedovo, Donato
UNESCO Clasification: 33 Ciencias tecnológicas
Keywords: Direct Matching Points
Dynamic Time Warping
Early Bearing Fault Detection
Stability Analysis
Issue Date: 2016
Project: Síntesis de muestras biométricas para aplicaciones de salud y seguridad 
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 49th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2015 
Abstract: Early fault detection leads to faster and more effective maintenance, avoiding serious damage in machines and increasing the reliability, security and fault tolerance in industrial scenarios. It is observed that a vibration signal of an onset fault in different parts of the bearing (inner race, outer race and ball) describes certain stable profile among their respective cycles. A methodology to estimate the stability of two dynamic handwriting signatures has been proposed using the Direct Matching Points (DMP) of the elastic align function Dynamic Time Warping (DTW). This methodology is evaluated in this paper and extrapolated to machinery vibration signals affected by an early bearing fault. Results confirm the feasibility to study the stability in both free-fault and fault bearing signals to detect automatically early faults in the bearings by using recorded vibration signals.
URI: http://hdl.handle.net/10553/52627
ISBN: 9781479986910
ISSN: 1071-6572
DOI: 10.1109/CCST.2015.7389655
Source: Proceedings - International Carnahan Conference on Security Technology [ISSN 1071-6572], [EISSN 2153-0742], v. 2015-January, p. 43-47
Appears in Collections:Actas de congresos
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