State Inspection and Fault Diagnosis System of Train Axel Box Bearing Based on Virtual Instrument

Peng Wang; Pan Zhang; Lu Yang Jing; Zhe Liu

doi:10.4028/www.scientific.net/KEM.693.1436

Paper Titles

Research on SVM Based Diagnosis System for Oil Tubing
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Rolling Bearing Fault Evolution Based on Vibration Time-Domain Parameters
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SIFT-Based Target Recognition in Robot Soccer
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Signal Classification for Pipeline Security Threat Event Based on Optimized Support Vector Machine
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State Inspection and Fault Diagnosis System of Train Axel Box Bearing Based on Virtual Instrument
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Study on Laser Measurement Technology of Inner Surfaces
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Study on the Influence of Roughness on the Detection for Mechanical Characteristics of the Machined Surface by Surface Acoustic Wave Dispersion Theory
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Study on the Relation of Wheel Hub Bearing Preload and Natural Frequency by Dynamic Test
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The Automatic Detection Technology for the Surface Defects of Automobile Engine Cylinder
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 693State Inspection and Fault Diagnosis System of...

State Inspection and Fault Diagnosis System of Train Axel Box Bearing Based on Virtual Instrument

Abstract:

Fault diagnosis of train bearing is an important method to ensure the security of railway. In the paper, four time domain statistical analysis methods and resonance demodulation method as a frequency domain analysis method are introduced. A state inspection and fault diagnosis system of train axel box bearing is constructed and its efficiency is also tested by wheel set experiment.

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Periodical:

Key Engineering Materials (Volume 693)

Pages:

1436-1440

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.693.1436

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Online since:

May 2016

Authors:

Peng Wang, Pan Zhang*, Lu Yang Jing, Zhe Liu

Keywords:

Bearing, Fault Diagnosis, LabVIEW

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* - Corresponding Author

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