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博士生董书志参加国际会议回国报告

发布时间:2019-06-12 点击数:


汇报题目:Bearing fault diagnosis under different operating conditions based on cross domain feature projection and domain adaptation

汇报时间:2019613日(星期四) 11:00

汇报地点:兴庆校区西二楼东一楼121

汇报人:董书志

会议名称:2019 IEEE International Instrumentation and Measurement Technology Conference

会议时间:20-23 May 2019

会议地点:Auckland, New Zealand

会议简介:

I2MTCIEEE International Instrumentation & Measurement Technology Conference)是IEEE仪器与测量协会的旗舰会议。该会议专注于先进的测量方法、测量系统、仪器仪表和传感器在各种科学与技术领域中的运用。这些特征使得I2MTC成为一个独一无二的并且在仪器与测量领域中的最重要的会议之一。同时,I2MTC被作为促进学术界与工业界交流的催化剂。会议提出了很多有可能在工业界运用或者是对工业界有所驱动的成果。

IEEE I2MTC大会自1986年以来每年都在世界各地举办,2019年将在新西兰奥克兰举行。这个会议每年聚集了超过400名与会者,包括来自学术界、本科生、研究生和博士生的代表、研究人员以及来自不同技术背景的行业的专业人士。

 

会议交流工作

Oral Presentation: Bearing fault diagnosis under different operating conditions based on cross domain feature projection and domain adaptation

报告人:董书志

 

参加论文信息

Title: Bearing fault diagnosis under different operating conditions based on cross domain feature projection and domain adaptation

Author: Shuzhi Dong; Guangrui Wen; Zhifen Zhang

Abstract: This paper focuses on the poor adaptability of fault diagnosis model under different operating conditions and a new transfer learning frame for diagnosis based on Joint Geometrical and Statistical Alignment (JGSA) is presented to solve this problem. Based on the extraction of sub-band energy in frequency, JGSA model is used to create two coupled projecting matrices and map training and test data into two subspaces. The bearing experiments results under different operating conditions show that the proposed framework based on JGSA works well when data distributions of different domain are similar and it can promote the performance of general classifier when distribution divergence between different domains is large.

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