Detection and Classification of Rolling-Element Bearing Faults using Support Vector Machines

2006 ◽  
Author(s):  
A. Rojas ◽  
A.K. Nandi
Keyword(s):  
Support Vector Machines ◽  
Rolling Element Bearing ◽  
Support Vector ◽  
Bearing Faults ◽  
Vector Machines ◽  
Rolling Element ◽  
Element Bearing

Support vector machines for detection and characterization of rolling element bearing faults

2001 ◽  
Vol 215 (9) ◽  
pp. 1065-1074 ◽  
Author(s):  
L. B. Jack ◽  
A. K. Nandi
Keyword(s):  
Support Vector Machines ◽  
Vibration Signal ◽  
Training Data ◽  
Rolling Element Bearing ◽  
Support Vector ◽  
Statistical Estimates ◽  
Vector Machines ◽  
Rolling Element ◽  
Fault Characterization

Artificial neural networks (ANNs) have been used to detect faults in rotating machinery for a number of years, using statistical estimates of the vibration signal as input features, and they have been shown to be highly successful in this type of application. Support vector machines (SVMs) are a more recent development, and little use has been made of them in the condition monitoring (CM) arena. The availability of a limited amount of training data creates some problems for the use of SVMs, and a strategy is offered that improves the generalization performance significantly in cases where only limited training data are available. This paper examines the performance of both types of classifier in one given scenario—a multiclass fault characterization example.

scholarly journals Classification of hyperspectral endocrine tissue images using support vector machines

2020 ◽  
Vol 16 (5) ◽  
pp. 1-10
Author(s):  
Marianne Maktabi ◽  
Hannes Köhler ◽  
Magarita Ivanova ◽  
Thomas Neumuth ◽  
Nada Rayes ◽  
...  
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Endocrine Tissue ◽  
Vector Machines

scholarly journals Support vector machines for classification of input vectors with different metrics

2011 ◽  
Vol 61 (9) ◽  
pp. 2874-2878 ◽  
Author(s):  
L. Gonzalez-Abril ◽  
F. Velasco ◽  
J.A. Ortega ◽  
L. Franco
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Vector Machines
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