Cariño Corrales, Jesús Adolfo

Delgado Prieto, Miquel

Ortega Redondo, Juan Antonio

Osornio Rios, Roque A.

Romero Troncoso, Rene de J.

Saucedo Dorantes, Juan Jose

Zurita Millán, Daniel

Shock and Vibration

English

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

Jesus Adolfo Cariño-Corrales

Juan Jose Saucedo-Dorantes

Daniel Zurita-Millán

Miguel Delgado-Prieto

Juan Antonio Ortega-Redondo

Roque Alfredo Osornio-Rios

Rene de Jesus Romero-Troncoso

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Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain

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Vibration-based adaptive novelty detection method for monitoring faults in a kinematic chain

UPCommons

Vibration-based adaptive novelty detection method for monitoring faults in a kinematic chain

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UPCommons. Portal del coneixement obert de la UPC

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