Research on Computer Network Fault Diagnosis Mechanism Based on VXI

Tao Guo; Zheng Qi Liu

doi:10.4028/www.scientific.net/AMM.687-691.2967

Paper Titles

Analysis of the Security Mechanism of Android and Countermeasures
p.2948

Design of Information System of Electrical Power School Based on Cloud Computing
p.2952

Distributed Intelligent Field Information Processing for Agile Manufacturing
p.2956

Research on Storage Technology of Electronic Textbook
p.2963

Research on Computer Network Fault Diagnosis Mechanism Based on VXI
p.2967

A Software Watermarking Algorithm Based on Binder Technology
p.2971

Optimization of Multicast End-to-End Delay in Multi-Radio Wireless Mesh Networks
p.2975

TCP Proxy with Data Redundancy Elimination and Compressing Technology
p.2979

Public Key Cryptosystem Research Based on Discrete Group
p.2984

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Research on Computer Network Fault Diagnosis...

Research on Computer Network Fault Diagnosis Mechanism Based on VXI

Abstract:

For the problems of wear real-time, compatibility and intelligence, we have designed computer network test and failure diagnosis system based on VXI bus technology. The hardware and software of the system have been improved. To implement real time, high speed data communication and transmission, the functions of VXI test board have been extended. The degree of intelligence and automatization has been improved through introducing expert system in the design of software. These will provide new references for improvement of existing test and diagnosis systems of computer network equipments.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

2967-2970

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.2967

Citation:

Cite this paper

Online since:

November 2014

Authors:

Tao Guo*, Zheng Qi Liu

Keywords:

Computer Network, Cxpert System, Fault Diagnosis, VXI Bus

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Chen T C, Han D J, Au F T K, et a1. Acceleration of Levenberg-Marquardt training of neural network with variable decay rate. Neural Network Proceeding of the Internation Joint, 2003, Vol. 3(2003), No4, pp.1873-1878.

DOI: 10.1109/ijcnn.2003.1223693

Google Scholar

[2] Sheng-Yung Chang, Cheng-Ren Lin, Chuei-Tin Chang. A fuzzy diagnosis approach using namic fault trees. Chemical Engineering Science, Vol. 57(2002), pp.2971-2985.

DOI: 10.1016/s0009-2509(02)00178-1

Google Scholar

[3] Akyildiz Computer I. F, Su W, Sankarasubramaniam Y, et al. Wireless Sensor Networks. A Survey, Networks, Vol. 3(2002), No4, pp.393-422.

DOI: 10.1016/s1389-1286(01)00302-4

Google Scholar

[4] Szewezyk R, Mainwaring A, Polastre J, et al. An Analysis of A Large Scale Habitat Monitoring Application. Proceedings of the 2"d International Conference on Embedded Networked Sensor System(SenSy'04), New York, NY, USA: ACM, 2004, pp.214-226.

DOI: 10.1145/1031495.1031521

Google Scholar

[5] Information on http: /news. xinhuanet. com.

Google Scholar