Bio-inspired computational techniques based on advanced condition monitoring

被引：3

作者：

Su Liangcheng1

2. Hangzhou Bearing Test & Research Center Co.

3. School of Computer Science

4. Postdoctoral Research Workstation of Hangzhou Bearing Test and Research Centre with Assistance of UNDP/UNIDO

机构：

来源：

EngineeringSciences | 2011年 / 9卷 / 01期

基金：

中国国家自然科学基金;

关键词：

condition monitoring; computational intelligence; neural networks; evolutionary computation; fuzzy logic;

D O I：

暂无

中图分类号：

TP274 [数据处理、数据处理系统];

学科分类号：

0804 ; 080401 ; 080402 ; 081002 ; 0835 ;

摘要：

The application of bio-inspired computational techniques to the field of condition monitoring is addressed. First, the bio-inspired computational techniques are briefly addressed; the advantages and disadvantages of these computational methods are made clear. Then, the roles of condition monitoring in the predictive maintenance and failures prediction and the development trends of condition monitoring are discussed. Finally, a case study on the condition monitoring of grinding machine is described, which shows the application of bio-inspired computational technique to a practical condition monitoring system.

引用

页码：90 / 96

页数：7