学术活动

学术大师-英国皇家工程院院士Asoke Nandi教授讲座

活动品牌 大连理工大学-学术活动
主 讲 人 英国皇家工程院院士Asoke Nandi教授
活动地点 创新园大厦(北门大黑楼)A331-332
开始时间 2017-12-14 14:00
结束时间 2017-12-14 16:00

活动简介:

报告摘要:

Condition monitoring of rolling element bearings in rotating machines is important for preventing breakdowns of industrial machinery. This presentation will propose a new two-stage method. This will introduce compressive sampling to reduce significantly the amount of data required for this. Furthermore, it will introduce deep neural networks for feature selection (using unsupervised learning based on sparse autoencoder) and classification of bearing conditions. This is a two stage method. The experimental results show that the proposed method is able to achieve higher levels of accuracy even with extremely compressed measurements compared with existing techniques. This method can be found in a recently published article in Mechanical Systems and Signal Processing (Ahmed, Wong, Nandi, 2018, 99:459-477).