Research on Fault Diagnosis and Application for Rolling Element Bearing Based on Fuzzy Analysis

Xiao Guang Yu; Jian Liu

doi:10.4028/www.scientific.net/AMR.189-193.1358

Paper Titles

Experimental Research on the Sound Insulation Property of Lightweight Composite Paper Honeycomb Core Wallboard
p.1334

Preparation and Electrical Properties of Aligned Carbon Nanotubes/Epoxy Resin Composites Induced by a Low Magnetic Field
p.1340

Preparation of Wood-Based EMI Shielding Composite via a Short Process Electroless Plating
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Stochastic Finite Element Method for Nonlinear Dynamic Problem with Random Parameters
p.1348

Research on Fault Diagnosis and Application for Rolling Element Bearing Based on Fuzzy Analysis
p.1358

Preparation of the Layer-by-Layer Deposited Silver Nanoparticles Multilayer Films on Poly(ethylene Terephalate) Substrate
p.1362

High Stable Mechanism Design for Micro-Wire Transport System in WEDM
p.1366

Research on the Temperature Field and Roast Mechanism of Blast Furnace Tap-Hole Clay
p.1370

Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization by Response Surface Methodology
p.1376

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 189-193Research on Fault Diagnosis and Application for...

Research on Fault Diagnosis and Application for Rolling Element Bearing Based on Fuzzy Analysis

Abstract:

In order to simulate the fault of a single rolling bearing, this paper used the fault diagnosis lab desk to simulate some representative conditions of 30205 type of rolling element bearing, including regular condition, inner ring fault, outer ring fault and rolling body fault. It also adopted fuzzy theory to analyze signals and diagnose faults on the base of the MATLAB software desk. This paper also adopts the amplitude spectrum, the power spectrum, the envelope demodulated spectrum and the delayed correlation-envelop spectrum to diagnosis and analyze simulating signals. Comparatively, the fuzzy diagnosis theory is dependable．

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Periodical:

Advanced Materials Research (Volumes 189-193)

Pages:

1358-1361

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.189-193.1358

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Online since:

February 2011

Authors:

Xiao Guang Yu, Jian Liu

Keywords:

Fault Diagnosis, Fuzzy Theory, Rolling Element Bearing, Variation Signal

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References

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