Study on Remote Condition Monitoring and Fault Diagnosis System for Rotating Machinery Based on LabVIEW

Chuan Hui Wu; Yan Gao; Yu Guo

doi:10.4028/www.scientific.net/AMR.430-432.1939

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 430-432Study on Remote Condition Monitoring and Fault...

Study on Remote Condition Monitoring and Fault Diagnosis System for Rotating Machinery Based on LabVIEW

Abstract:

In order to suit the demand of monitoring and fault diagnosis of modern small and medium machinery devices better, this paper discusses the development of machinery condition monitoring and fault diagnosis system of good universality and strong expansibility using LabVIEW. Mainly illuminates vibration signal, temperature signal and electric current signal acquisition module using NI data acquisition hardware; signal analysis module in time domain, frequency domain and joint time–frequency domain using signal processing technology. DataSocket, database and fuzzy diagnosis technique have been utilized enabling this system to monitor and diagnose machinery fault remotely.

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Periodical:

Advanced Materials Research (Volumes 430-432)

Pages:

1939-1942

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.430-432.1939

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Online since:

January 2012

Authors:

Chuan Hui Wu, Yan Gao, Yu Guo

Keywords:

Fault Diagnosis, Fault Monitoring, LabVIEW, Remote Monitoring, Signal Processing

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References

[1] Lu Chunyue, Wang Junyuan: Thepresent situation and developing tendency of machinery trouble diagnosis, MECHANICAL MANAGEMENT AND DEVELOPMENT, No. 6, Dec, (2004).

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[2] Xu Wanhai, Hu Xin: a Method to Transfer Data of Remote Diagnosis Based on LabVIEW.

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[3] Yan Ling, Wei Zhiwen: Systm of Fault Monitor and Diagnosis about Rotator Machine.

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