Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain
المؤلفون المشاركون
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
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-24
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118879
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر