TY - JFULL AU - N. Ahmed and A.J. Day and J.L. Victory L. Zeall and B. Young PY - 2012/9/ TI - Condition Monitoring in the Management of Maintenance in a Large Scale Precision CNC Machining Manufacturing Facility T2 - International Journal of Industrial and Manufacturing Engineering SP - 1696 EP - 1700 VL - 6 SN - 1307-6892 UR - https://publications.waset.org/pdf/8601 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 68, 2012 N2 - The manufacture of large-scale precision aerospace components using CNC requires a highly effective maintenance strategy to ensure that the required accuracy can be achieved over many hours of production. This paper reviews a strategy for a maintenance management system based on Failure Mode Avoidance, which uses advanced techniques and technologies to underpin a predictive maintenance strategy. It is shown how condition monitoring (CM) is important to predict potential failures in high precision machining facilities and achieve intelligent and integrated maintenance management. There are two distinct ways in which CM can be applied. One is to monitor key process parameters and observe trends which may indicate a gradual deterioration of accuracy in the product. The other is the use of CM techniques to monitor high status machine parameters enables trends to be observed which can be corrected before machine failure and downtime occurs. It is concluded that the key to developing a flexible and intelligent maintenance framework in any precision manufacturing operation is the ability to evaluate reliably and routinely machine tool condition using condition monitoring techniques within a framework of Failure Mode Avoidance. ER -