Study of Key Realization Technology for Fault Prediction System of Machine Tool Based on PHM (2)

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 proposal is intended as an extended study of the current NSC project (NSC 102-2221-E-182-037, 2013/8-2013/7, which was originally planned as a continuous project, but only passed as a one-year project). The proposal is to extend the progress and results obtained in the current project, Taking the original reviewers comments into account, through careful correction, integration and practice, come up with a more complete project (project concept as shown in the following figure 0) is aimed at improving an external grinder with two-beam configuration 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 originally named "Study of key realization technology for fault prediction system of machine tool based on PHM". The second year "Modal-based performance optimization－MBPO", the third years "Fatigue-based maintenance optimization－FBMO", and the fourth years "Health monitoring and preventive action－HMPA", as their subproject title enable entry into the field of PHM and ISO 26262 FS requirement as a foundation research. The second year of research will focus on four tasks:  to build up the dynamic loading modeling and cutting stability analysis for an external grinder with two-beam configuration,  to develop parameter identification technology of N4SID-OMA,  to practice by firefly metaheuristic global optimization algorithm,  to study of strain modal analysis in structural damage diagnosis. The third year of research will focus on four tasks:  to apply the rain-flow counting techniques,  to study the fatigue damage spectrum by the use of response spectra,  to study the fatigue cumulative damage theory,  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,  integration the database of the best processing parameters and fatigue life prediction and warranty policies,  combination the field programmable gate array technologies and applications,  validation 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:PB10401-1793
External Project ID:MOST103-2221-E182-007-MY3