Real-Time Data-Based Fault Diagnosis System

Hai Wang

doi:10.4028/www.scientific.net/AMR.189-193.2621

Paper Titles

Test and Analysis of Friction Torque for Wind Turbine Pitch Bearing
p.2601

Numerical Simulation of Microstructure Evolution of Hot Forging
p.2605

Microstructure of AZ31 Magnesium Alloy Produced by the CONFORM Process under Different Extrusion Wheel Velocities
p.2609

The Mechanism and Influence Factors of Struvite Precipitation for the Removal of Ammonium Nitrogen
p.2613

Real-Time Data-Based Fault Diagnosis System
p.2621

Study of Solutions and Causes for Scrap Jumping up in High-Speed Stamping
p.2625

Diagnosis System of Manufacturing Equipment Based on Structure-Fault Tree
p.2629

Finite Element Simulation and Experimental Study of the Effect of Cone Parameter on Thickness Distribution in Hydroforming of Conical-Cylindrical Cups
p.2634

Test Research of Stamping Property for 500MPa Grade Super Steel Sheet
p.2638

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 189-193Real-Time Data-Based Fault Diagnosis System

Real-Time Data-Based Fault Diagnosis System

Abstract:

Mining from the equipment/technology process historical data can find diagnosis knowledge. Real-time analysis and evaluation on the status of equipment can be realized based on its current state parameters and historical information, which detect the potential fault rapidly and protect equipment to avoid failures further. This paper did an in-depth study in real-time data-based fault diagnosis system, built a real-time data integration platform and accomplished intelligent diagnosis method by ANFIS networks with the mined historical data. The production process was diagnosed and evaluated online with this diagnosis method. Combined with actual production system, its prototype system was developed.

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Periodical:

Advanced Materials Research (Volumes 189-193)

Pages:

2621-2624

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.189-193.2621

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Online since:

February 2011

Authors:

Hai Wang

Keywords:

ANFIS, Historical Data, OPC, Real-Time Data, Real-Time Fault Diagnosis

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References

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