会议专题

On-line fault intelligent monitoring diagnosis system of blower

The structure of gas blower group is complex. There are many types of fault and many fault are hidden, such as axial channeling move, rotor rubbing, resonance of sliding bearing oil film, gear fault, unbalanced, misalignment .etc. The happening of these kind of fault, will affect seriously the efficiency and safety of operation of the gas blower, leading to the paralysis of the production system. Therefore, it is necessary to design an On-line fault intelligent monitoring diagnosis system for gas blower group as soon as possible. When on-line monitoring, at the same time , the computer in the background online real-time analysis all kinds of dynamic vibration signal automatically, discriminate the operating status of these blower group, depend on consequence of all kinds of analysis, by intelligent reasoning, online real-time display fault type, the cause, site and severity. Can also be offline manmachine interactive for intelligent diagnosis precision.

air blower on-line monitor diagnose research

Rong fu Zhou Ding xin Shuai Yu Tang Xue tong zhang

Electric and information engineering college of PanZhiHua university, PanZhiHua,Sichuan province 617 Electric and information engineering college of PanZhiHua niversity, PanZhiHua, Sichuan province 617 Electric and information engineering college of PanZhiHua university, PanZhiHua, Sichuan province 61 The design institute of PanZhiHua iron &steel company, PanZhiHua, Sichuan province 617000

国际会议

4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

三亚

英文

928-932

2012-01-06(万方平台首次上网日期,不代表论文的发表时间)