Research on Fault Diagnosis Based on BP-SOM Hybrid Algorithms for NC Machine

Chao Deng; Wen Long Dong; Yuan Hang Wang; Yao Xiong

doi:10.4028/www.scientific.net/AMR.544.32

Paper Titles

The Optimal Combination Research of System Configuration and T&M Policy of Standby Safety System
p.6

Black Box System Multi-Objective Optimization Based on Design of Experiment
p.12

Strength and Reliability Analysis of Hydraulic Support
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Equipment Performance Degradation Modeling for Reliability Prediction Based on n-ARIMA Model
p.24

Research on Fault Diagnosis Based on BP-SOM Hybrid Algorithms for NC Machine
p.32

An Optimization Method of the Heavy Machine Cutting Parameters
p.38

Optimization of Condition-Based Maintenance Policy for Deteriorating System Based on Monte-Carlo Simulation
p.44

Variable-Fidelity Multidisciplinary Design Optimization Based on Analytical Target Cascading Framework
p.49

Distribution of Time Between Failures of Numerical Control System Based on Censored Data
p.55

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 544Research on Fault Diagnosis Based on BP-SOM Hybrid...

Research on Fault Diagnosis Based on BP-SOM Hybrid Algorithms for NC Machine

Abstract:

NC machines are more and more widely used in manufacturing industry. As the key equipments in the factory, NC machines should be closely monitored to avoid faults. Therefore, the research on multi-function diagnosis based on BP-SOM is discussed for NC machine in the paper. Taking the precision data as the basic data for diagnosis, the research used BP and SOM algorithms to build up diagnosis models. As a result, the research has accomplished the diagnosing process and acquires good simulation output, which resembles with the real fact.

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Periodical:

Advanced Materials Research (Volume 544)

Pages:

32-37

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.544.32

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Online since:

June 2012

Authors:

Chao Deng, Wen Long Dong, Yuan Hang Wang, Yao Xiong

Keywords:

BP, Fault Diagnosis, NC Machine, Precision, SOM

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