AN AUTOMATED GOAL SEEKING APPROACH TO MACHINERY PROGNOSTICS AND LIFE EXTENSION

摘要

In this paper we discuss ongoing work in development of an intelligent platform for automated health management and machinery life extension. This work exploits the rich opportunities that are arising from the integration of a new generation of onboard intelligent technologies. These technologies include smart monitoring, prognostic modeling, and intelligent control. We describe two new technologies that our research group is bringing to onboard health management: teleo-adaptive control provides adaptive goal-seeking behavior that optimizes mission performance while minimizing stress and mitigating risk. Dynamic Bayesian models provide continuous online estimates for equipment condition, performance and stress levels, and evolving fault trajectories. We show how these two technologies can be fruitfully integrated into a single proactive framework called Teleo Health Management (THM). THM is a total systems approach to machinery health management and life extension, providing a range of functionality beginning at the level of conventional CBM and extending to machinery life extension through in situ stress reduction and risk mitigation.