汇报时间：2019年9月16日 10：00
汇报地点：兴庆校区 中心三楼 2330
汇报人：文浩彬
国际会议信息
会议名称：32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management
会议时间：2-5 September，2019
会议地点：University of Huddersfield, West Yorkshire, United Kingdom
会议简介：
COMADEM International has been successfully organising annual congresses and exhibitions in the UK and worldwide for 32 years. COMADEM International has co-edited over 30 international COMADEM congress proceedings which have been published by major publishing organisations. COMADEM Internationals' mission is to:“ Totally commit ourselves to provide the best possible care and services in the inter-discipline of Condition Monitoring and Diagnostic Engineering Management to all our valued customers, who seek our advice and expertise in order to continuously improve performance and to add value to their assets.”
Digitally Enabled Asset Management is the theme of this year’s conference. COMADEM 2019 will cover a wide range of subjects in the field of asset management including maintenance, condition monitoring, structural health monitoring, non-destructive testing and other related subjects.
参加论文信息
Title：The Separation of Vibration Components Based on Sparse Nonnegative Tensor Factorization
Author：Haobin Wen, Lin Liang, Ben Niu, Lei Shan, Maolin Li, and Guang Li
Abstract：The vibration signals collected for machinery fault diagnosis tend to contain multiple excitation sources. Independent Component Analysis (ICA), the common approach of Blind Source Separation (BSS) to separate mixed source signals, is challenged when the data distributions are not known in advance. To overcome this problem, the source separation method based on sparse nonnegative tensor factorization (SNTF) is proposed. Firstly, the multi-channel vibration signals are constructed into a third-order time-frequency tensor by means of Short Time Fourier Transform (STFT). Then, the spectrum tensor is decomposed into three factors by performing Sparse NTF, and the source signals are reconstructed separately utilizing the different subspace. Eventually, the practical experiment on a two-stage gearbox indicates the performance improvement crediting to the sparseness constraint and verifies the effectiveness of the separation method.
