Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain
Joint Authors
Romero-Troncoso, R. D. J.
Osornio-Rios, Roque A.
Cariño-Corrales, Jesus Adolfo
Saucedo-Dorantes, Juan Jose
Zurita-Millán, Daniel
Delgado-Prieto, Miguel
Ortega-Redondo, Juan Antonio
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper presents an adaptive novelty detection methodology applied to a kinematic chain for the monitoring of faults.
The proposed approach has the premise that only information of the healthy operation of the machine is initially available and fault scenarios will eventually develop.
This approach aims to cover some of the challenges presented when condition monitoring is applied under a continuous learning framework.
The structure of the method is divided into two recursive stages: first, an offline stage for initialization and retraining of the feature reduction and novelty detection modules and, second, an online monitoring stage to continuously assess the condition of the machine.
Contrary to classical static feature reduction approaches, the proposed method reformulates the features by employing first a Laplacian Score ranking and then the Fisher Score ranking for retraining.
The proposed methodology is validated experimentally by monitoring the vibration measurements of a kinematic chain driven by an induction motor.
Two faults are induced in the motor to validate the method performance to detect anomalies and adapt the feature reduction and novelty detection modules to the new information.
The obtained results show the advantages of employing an adaptive approach for novelty detection and feature reduction making the proposed method suitable for industrial machinery diagnosis applications.
American Psychological Association (APA)
Cariño-Corrales, Jesus Adolfo& Saucedo-Dorantes, Juan Jose& Zurita-Millán, Daniel& Delgado-Prieto, Miguel& Ortega-Redondo, Juan Antonio& Osornio-Rios, Roque A.…[et al.]. 2016. Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain. Shock and Vibration،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1118879
Modern Language Association (MLA)
Cariño-Corrales, Jesus Adolfo…[et al.]. Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain. Shock and Vibration No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1118879
American Medical Association (AMA)
Cariño-Corrales, Jesus Adolfo& Saucedo-Dorantes, Juan Jose& Zurita-Millán, Daniel& Delgado-Prieto, Miguel& Ortega-Redondo, Juan Antonio& Osornio-Rios, Roque A.…[et al.]. Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1118879
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118879