Research on Condition Monitoring and Fault Diagnosis of Metallurgical Machinery and Equipment

Zheng Rong Guan; Jun Ping Li; Xin Wu Wang

doi:10.4028/www.scientific.net/AMM.52-54.504

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Parameter Identification for Nonlinear Dry-Friction Structure of Metallic Rubber
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Simulation of Sound Wave Propagation at the Inlet of a Jet Engine
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Computational Study of Streamfunction-Vorticity Formulation of Incompressible Flow and Heat Transfer Problems
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Development of New Type Settlement Plate in Settlement Observation on High-Speed Railway
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 52-54Research on Condition Monitoring and Fault...

Research on Condition Monitoring and Fault Diagnosis of Metallurgical Machinery and Equipment

Abstract:

Using the signal amplitude domain, frequency domain, bearing shock pulse measurement of bearings, gear boxes, motors and other rotating machinery vibration parameters for key components, through the accumulation of historical data and diagnosis, to predict in advance of equipment failure, for maintenance work to help provide a reliable and assurance purposes. The results show that the system does for the routine maintenance of production equipment has played a guiding role.

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Periodical:

Applied Mechanics and Materials (Volumes 52-54)

Pages:

504-510

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.52-54.504

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Online since:

March 2011

Authors:

Zheng Rong Guan, Jun Ping Li, Xin Wu Wang

Keywords:

Condition Monitoring, Equipment Maintenance, Rotating Machinery, VIBSCANNER

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