Fault Diagnosis of CNC Machine Tool Based on Bayesian Formula

Abstract:

Bayesian formula is used to determine diagnosis sequence when several fault trees meet requirements. Bayesian prior probability is usually determined through expert or the user's subjective judgment and historical experience. If there is lack of expert experience, the determination of priori probability is very difficult. A real-time priori probability calculation method is proposed, which needn’t any priori-knowledge and can regulate automatic on the monitoring parameters. It takes into account the multiple diagnosis impact and more flexible than fixed priori probability according application.

• Periodical: Applied Mechanics and Materials (Volumes 271-272)
• Pages: 1765-1769
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.271-272.1765
• Online since: December 2012
• Authors: Ying Yu, Ming Chen, Ying Lei Li
• Keywords: Bayesian Formula, CNC Machine Tool, Fault Diagnosis

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