A Study of Equipment Fault Forecast System Based on Virtual Setting

Jing De Huang

doi:10.4028/www.scientific.net/AMM.80-81.1244

Paper Titles

Fragmentation Degree Research Based on File’s Layout
p.1217

Finding Free Space for Task Placement on Reconfigurable Devices
p.1226

An Identification Algorithm of Insects Wing Based on Grid
p.1232

Design and Development of Embedded Turbine Supervisory Instruments Based on ARM and Linux
p.1237

A Study of Equipment Fault Forecast System Based on Virtual Setting
p.1244

The FPGA-Based Phase-Locked Loop Speed Control System of BLDCM for Magnetically Suspended Control Moment Gyroscope
p.1249

Design of Chatter Measurement and Control System Based on Virtual Instrument
p.1258

Gross Error Positioning and Processing Method Based on Forest Grey Modeling
p.1262

Research on Extracting Skeleton of Mechanism
p.1268

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 80-81A Study of Equipment Fault Forecast System Based...

A Study of Equipment Fault Forecast System Based on Virtual Setting

Abstract:

Fault forecasting model based on dynamic fuzzy synthetically Judging and five units model of forecasting coefficient are built up, and method of selecting coefficient is made certain. On the other hand, this paper put forward technical disposing method of fault judging result, and discusses method of fault pattern recognition. Based on these all establishes important foundation of theory and technology, this system has been successfully adopted in detection, evaluation, and maintenance of large-caliber gun based on states.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 80-81)

Pages:

1244-1248

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.80-81.1244

Citation:

Cite this paper

Online since:

July 2011

Authors:

Jing De Huang

Keywords:

Dynamic Fuzzy Judging, Fault Forecast, Forecast Coefficient, Virtual Prototype

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Huang jingde , Wang xinggui, Wang zuguang. Dynamic fuzzy synthetically judign method and apllication on fautl forecastign[J]. Fuzzy system and mathematics, 2001. 15(4): 96-99.

Google Scholar

[2] Zhang zhixing, Sun chunzai, [Japan] xun ku yong er. Neural-Fuzzy and Soft Computing [M]. Xian Jiao tong University Press, (2000).

Google Scholar

[3] L. A . Zadeh . Fuzzy Sets, Linguistic Variable and Fuzzy Logic [M]. Science Press, 1982Fuzzy connection matrix Weight coefficient set.

Google Scholar