Application of the Technology of Multi-Source Information Fusion in Industrial Monitoring and Fault Diagnosis

Xiang Qi Liu; Xiang Ting Chong; Cheng Gang Zhen

doi:10.4028/www.scientific.net/AMR.734-737.3089

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737Application of the Technology of Multi-Source...

Application of the Technology of Multi-Source Information Fusion in Industrial Monitoring and Fault Diagnosis

Abstract:

nformatization construction is a major issue of current social construction, and the technology of multi-source information fusion is an integral part of the information construction. This paper provides an overview of the technology of the multi-source information fusion, gives an introduction of the application of the technology of multi-source information fusion in industrial monitoring and fault diagnosis, and gives the direction of development and trends of the technology in the future according to the main problems in the research of the technology of multi-source information fusion.

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Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

3089-3092

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.3089

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Online since:

August 2013

Authors:

Xiang Qi Liu, Xiang Ting Chong, Cheng Gang Zhen

Keywords:

Fault Diagnosis, Industrial Monitoring, Information Fusion, Multi-Sensor, Multi-Source

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References

[1] Tianru Hu. "Introduction to multi-source information fusion". Science and technology, 2011, p.62.

Google Scholar

[2] VigireH P,TerenoA.A model for the prediction of "diseases" of firms by means of fuzzy relations[J].Fuzzy Set sand Systems,2008, vol.159(17),pp.2299-2316.

DOI: 10.1016/j.fss.2008.01.015

Google Scholar

[3] SyceraK, Glinton R, Yu Bin, et. al An integrated approach to high-level information fusion[J]. Information Fusion,2009,vol.10(1),pp.25-50.

DOI: 10.1016/j.inffus.2007.04.001

Google Scholar

[4] Tianru Hu. "The application of the multi-source information fusion in fault diagnosis". Research and development of science and technology, 2011, January, p.170.

Google Scholar

[5] Chongzhao Han, Hongyan Zhu, Zhansheng Duan." Multi-source information fusion". Beijing: The press of Tsinghua university,2006,pp.27-85.

Google Scholar

[6] Jianjun He, Rui Zhao. "The fault diagnosis of large-scale hydraulic generator based on the technology of information fusion". Journal of central south university: The edition of natural science, 2007, vol.38(2),pp.333-338.

Google Scholar

[7] Liming Zhao, Heping Liu, Bing Zhang. "The technology of multi-source information fusion and its industrial application ". Automation instrument, 2010, vol. 9(9), pp.1-5.

Google Scholar

[8] Yang S J, Stotz A, Holsopple J, et. al High level information fusion for tracking and projection of multistage cyber attacks [J]. Information Fusion, 2009, vol. 10(1), pp.107-121.

DOI: 10.1016/j.inffus.2007.06.002

Google Scholar