The Research of Blast Furnace Blower Shaft Fault Diagnosis Beased on Wavelet Analysis

Tie Qiang Sun; Rong Liu; Cui Xue Xie

doi:10.4028/www.scientific.net/AMM.263-266.255

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266The Research of Blast Furnace Blower Shaft Fault...

The Research of Blast Furnace Blower Shaft Fault Diagnosis Beased on Wavelet Analysis

Abstract:

This article briefly introduces that the blast blower shaft fault diagnosis and prediction based on wavelet analysis. When the blast furnace operation of axial fan of vibration signal de-noising and singularity analysis, the fan operation state for real-time monitoring, timely find fault information and fault point, guarantee the safety, stability of the blast blower operation. Through the data with Matlab simulation effective, is that the wavelet analysis used in blast furnace fan axis of the fault diagnosis of feasibility.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

255-260

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.255

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Online since:

December 2012

Authors:

Tie Qiang Sun, Rong Liu, Cui Xue Xie

Keywords:

Blast Furnace Blower, De-Noising Processing, Singularity Analysis, Wavelet Analysis

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