The Research Status and Development Trend of Fault Diagnosis System for CNC Machine

Autor: Ao, Mao Yao, Zhao, Yan
Zdroj: Applied Mechanics and Materials; November 2012, Vol. 229 Issue: 1 p2229-2232, 4p
Abstrakt: The main research contents as well as the research status and results in fault diagnosis system for CNC Machine are reviewed, analyzed and summarized, based on the analysis of domestic and foreign literature in the field of fault diagnosis system for CNC Machine. It briefly analyzes the characteristic and applicability of Expert System, Neural Network, Fault Tree Analysis, Fuzzy Set Theory and Multi-Agent System, and points out the key technical problems which is needed to be solved in this field. Then it views the future development, and points that the fault diagnosis of integrated intelligence and remote network is the research and development trend of diagnosis system for CNC Machine.
Databáze: Supplemental Index