Gear Fault Diagnosis Method of Intelligence Based on Genetic Algorithm to Optimize the BP Neural Network

Jie Fang

doi:10.4028/www.scientific.net/AMR.756-759.3674

Paper Titles

Imbalanced Data Detection Kernel Method in Closed Systems
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Parallel Outlier Detection in Dial-Back Fraud Calls
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Application of Two Unknown Quantities and Three Points Interpolation in the Atmospheric Transmittance of Infrared Radiation
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Retrieval Technology by Example during Product Development of Auto Parts
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Gear Fault Diagnosis Method of Intelligence Based on Genetic Algorithm to Optimize the BP Neural Network
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A Rescheduling Algorithm of Train-Group for Railway Emergencies and its Parallelization
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The Calculation of the Magnetic Field Produced by an Arbitrary Shaped Current-Carrying Wire in its Plane
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Improved Algorithm for Mining Maximum Frequent Patterns Based on FP-Tree
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A Variation Level Set Formulation Local Based C-V Model for Medical Images Segmentation
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Gear Fault Diagnosis Method of Intelligence Based...

Gear Fault Diagnosis Method of Intelligence Based on Genetic Algorithm to Optimize the BP Neural Network

Abstract:

The work of the gear transmission is very complex, and its failure in the form and features tend to show non-linear mapping. Fault signal is often submerged in conventional vibration signal and noise, it is not easy using traditional signal processing methods to extract fault features which in a difficult to gear fault diagnosis. This paper based on the genetic algorithm to optimize the structure of the BP neural network model for the intelligent diagnosis system which is used in gear fault diagnosis.The experimental results show that this method can be effectively used for the diagnosis and identification of the gears common fault type.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3674-3679

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3674

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Online since:

September 2013

Authors:

Jie Fang

Keywords:

Artificial Neural, BP Neural Network (BPNN), Gear Fault Intelligent Diagnosis, Vibration Signal

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