Artificial Neural Network Model for Monitoring Oil Film Regime in Spur Gear Based on Acoustic Emission Data

المؤلفون المشاركون

Ali, Yasir Hassan
Abd Rahman, Roslan
Raja Hamzah, R. I.

المصدر

Shock and Vibration

العدد

المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2015-03-17

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

هندسة مدنية

الملخص EN

The thickness of an oil film lubricant can contribute to less gear tooth wear and surface failure.

The purpose of this research is to use artificial neural network (ANN) computational modelling to correlate spur gear data from acoustic emissions, lubricant temperature, and specific film thickness (λ).

The approach is using an algorithm to monitor the oil film thickness and to detect which lubrication regime the gearbox is running either hydrodynamic, elastohydrodynamic, or boundary.

This monitoring can aid identification of fault development.

Feed-forward and recurrent Elman neural network algorithms were used to develop ANN models, which are subjected to training, testing, and validation process.

The Levenberg-Marquardt back-propagation algorithm was applied to reduce errors.

Log-sigmoid and Purelin were identified as suitable transfer functions for hidden and output nodes.

The methods used in this paper shows accurate predictions from ANN and the feed-forward network performance is superior to the Elman neural network.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Ali, Yasir Hassan& Abd Rahman, Roslan& Raja Hamzah, R. I.. 2015. Artificial Neural Network Model for Monitoring Oil Film Regime in Spur Gear Based on Acoustic Emission Data. Shock and Vibration،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1077917

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Ali, Yasir Hassan…[et al.]. Artificial Neural Network Model for Monitoring Oil Film Regime in Spur Gear Based on Acoustic Emission Data. Shock and Vibration No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1077917

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Ali, Yasir Hassan& Abd Rahman, Roslan& Raja Hamzah, R. I.. Artificial Neural Network Model for Monitoring Oil Film Regime in Spur Gear Based on Acoustic Emission Data. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1077917

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1077917