ON THE USE OF CFD AND SYMBOLIC DYNAMIC FILTERING FOR HEALTH MONITORING OF ROTATING MACHINERY

被引:0
作者
Anusonti-Inthra, Phuriwat [1 ]
Chakraborty, Subhadeep [2 ]
机构
[1] Univ Tennessee, Inst Space, Mech Aerosp & Biomed Engn, Tullahoma, TN 37388 USA
[2] Univ Tennessee, Mech Aerosp & Biomed Engn, Knoxville, TN 37996 USA
来源
7TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2014, VOL 1 | 2014年
关键词
FAULT-DETECTION; SYSTEMS; IDENTIFICATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an approach to use Computational Fluid Dynamics (CFD) analysis for the development of a health monitoring system based on Symbolic Dynamic Filtering (SDF) for rotating machinery. A simplified model of a turbomachinety (single rotor) is analyzed using commercial CFD software with and without blade damages. Virtual pressure sensors are placed on the case of the turbomachinery directly above the rotating blades to measure the dynamic pressure pulse generated by the rotating blades. The pressure pulse profiles from the rotating rotor blades with and without blade damages are processed using SDF to determine the presence and magnitude of the fault. Various degrees of damage and effect of measurement noise are examined.
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页数:7
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