Study on uncertainty reasoning of running reliability testing face to CNC machine

• Main Authors: Guoxin Wu, Yunbo Zuo, Hongjun Wang, Xiaoli Xu
• Format: Article
• Language: English
• Published: Wiley 2019-12-01
• Series: The Journal of Engineering
• Subjects: inference mechanisms; manufacturing systems; machine tools; reliability; fault diagnosis; computerised numerical control; sensor fusion; production engineering computing; machine tooling; technological basis; equipping; modern manufacturing systems; ultra-precision; processing needs; reliability detection information; machining environment; information acquisition technology; computer numerical control machine tools; uncertainty reasoning method; accuracy precision; multisensor information characteristic; high-end cnc machine tools operational reliability analysis; analysis basis
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9043

It is necessary to test the reliability of the operation of the machine itself for meeting the high-speed, ultra-precision, flexible, and other modern manufacturing and processing needs. In practical applications, the obtained reliability detection information presents a variety of uncertainties such as randomness, imprecision, incompleteness and so on, due to the complexity of the machining environment, the limitations of the sensor itself and the imperfections of the information acquisition technology. The uncertainty reasoning method is proposed to test reliability and accuracy precision. Based on the multi-sensor information characteristic, the rule of the credibility sets is established to achieve the operational reliability analysis. It can realise the uncertainty reasoning for the modal and reliability rules. Examples of analysis show that during the high-end CNC machine tools operational reliability analysis, it has a practical effect to study the uncertainty reasoning method of the modal and reliability propositional rule and the analysis basis can be provided for the precision degradation and fault diagnosis.