Predict the Service Life of Rotary Lip Seals by Machine Learning Methods

2018 2nd International Conference on Artificial Intelligence Applications and Technologies

计算机科学

Xu, Yiyi^1 ; Zhang, Wenjie^1 ; Zhou, Erping^1 ; Myler, Peter^1

School of Engineering, University of Bolton, Bolton

BL3 5AB, United Kingdom^1

关键词: Engineering applications;    Engineering products;    Machine learning methods;    Maintenance procedures;    Rotary lip seals;    Testing data;    Working environment;    Working life;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/435/1/012016/pdf
DOI  :  10.1088/1757-899X/435/1/012016

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This paper aims to use machine learning methods to predict the service life of rotary lip seals to aid manufacturers and users improving the current maintenance procedures. Seals are widely used in most engineering applications. The knowledge of condition of seals throughout their working life is important due to the fact that they are often used on high value engineering products. As the current material properties of the seal and the working environment various, it is difficult to predict useful life of the rotary lip seal. In this paper, the factors relating to life of rotary lip seals are investigated and discussed. The application of machine learning methods using actual testing data in order to estimate the useful life of the seals has been presented. The early results show good agreement between actual and predicted values.