Study of Key Realization Technology for Fault Prediction System of Machine Tool Based on PHM

Prognostic and health management is one involves the sensors, data acquisition, data processing, fault diagnosis, health assessment, life prediction and modeling techniques in the multidisciplinary field, has aroused the domestic and foreign military attention in equipment development process research. It is so far a rarely seen approach with performance prediction and reliability assessment for machine tools in the domestic scholars. This three-year project research (as shown in the following figure 0) is aimed at improving an external grinder dynamic performance as a carrier. The project integrates the operational modal analysis technology, the machine tool structural modal information diagnostic, preventive maintenance and remaining life prediction and other issues to put those technologies into practice. It should be an excellent project portfolio, and is named "Study of key realization technology for fault prediction system of machine tool based on PHM". The first year "Modal-based performance optimization－MBPO", the second years "Fatigue-based maintenance optimization－FBMO", and the third years "Health monitoring and preventive action－HMPA", as their subproject title enable entry into the field of PHM as a foundation research. The first year of research will focus on four tasks: ① to build up the dynamic loading modeling and cutting stability analysis on continuous elastic foundation for an external grinder, ② to develop parameter identification technology of N4SID-OMA,　③ to practice by firefly metaheuristic global optimization algorithm, ➃　to study of strain modal analysis in structural damage diagnosis. The second year of research will focus on four tasks: ① to apply the rain-flow counting techniques, 　② to study the fatigue damage spectrum by the use of response spectra　③ to study the fatigue cumulative damage theory, ➃ to provide the fatigue life prediction and warranty strategy, completed all offline all software verification. Based on the results of previous years, the objective of the last year is to develop a programmable embedded FPGA machine tool structural health monitoring platform, which entails ① integration the database of the best processing parameters and fatigue life prediction and warranty policies, 　② combination the field programmable gate array technologies and applications, ③ validat ion the analysis and design software and to complete firmware of the real-time detection for chattering, fatigue and residual life of machine tool.

Project ID:PB10207-1901
External Project ID:NSC102-2221-E182-037