TY - CONF
T1 - Poincaré plot features from vibration signal for gearbox fault diagnosis
AU - Medina, Ruben
AU - Alvarez, Ximena
AU - Jadan, Diana
AU - Cerrada, Mariela
AU - Sanchez, Rene Vinicio
AU - Macancela, Jean Carlo
PY - 2018/1/4
Y1 - 2018/1/4
N2 - This paper describes a method for fault diagnosis in gearboxes using features extracted from the Poincare plot of the vibration signal. Several features describing the geometrical shape of the Poincare plot are calculated and three of these features are selected for performing the classification of 10 types of faults recorded in the gearbox vibration signal dataset. A multi-class Error-Correcting Output Code Support Vector Machine is trained for performing the classification of faults. The cross-validation performed show that the highest accuracy attained is 95.3% when signals recorded using the load L1 are considered.
AB - This paper describes a method for fault diagnosis in gearboxes using features extracted from the Poincare plot of the vibration signal. Several features describing the geometrical shape of the Poincare plot are calculated and three of these features are selected for performing the classification of 10 types of faults recorded in the gearbox vibration signal dataset. A multi-class Error-Correcting Output Code Support Vector Machine is trained for performing the classification of faults. The cross-validation performed show that the highest accuracy attained is 95.3% when signals recorded using the load L1 are considered.
KW - Gearbox faults classification
KW - Multi-class Support Vector Machines
KW - Poincare plots
KW - Rotatory machines
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045739957&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85045739957&origin=inward
UR - http://www.mendeley.com/research/poincar%C3%A9-plot-features-vibration-signal-gearbox-fault-diagnosis
U2 - 10.1109/ETCM.2017.8247500
DO - 10.1109/ETCM.2017.8247500
M3 - Paper
SP - 1
EP - 6
T2 - 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM 2017)<br/>
Y2 - 16 October 2017 through 20 October 2017
ER -