Integrated System Health Management with Reliability and Risk

• Activity Number: 497
• Type: Topic Contributed
• Date/Time: Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
• Sponsor: Section on Physical and Engineering Sciences
• Author(s): Aparna Huzurbazar*+ and David H. Collins
• Companies: Los Alamos National Laboratory and Los Alamos National Laboratory
• Keywords: prognostics ; flowgraph model ; weapon system ; nuclear reactor

Abstract

Understanding and managing the health of today's complex systems requires a multitude of tools. This talk will give an overview some problems in this area with a focus on Prognostics and Health Management (PHM). The systems that we consider are are typically mission- or safety-critical, expensive to replace, and operate in environments where reliability and cost-effectiveness are a priority. PHM programs are essential for understanding and managing these systems for high reliability at minimum cost. In recent decades, great advances have been made in sensor and monitoring technology, for example, in real-time condition monitoring of aircraft engines, as well as in off-line diagnostic testing. For systems such as military aircraft this results in large, heterogeneous datasets containing information on internal vibration, chemical composition of propellants and lubricants, corrosion, etc., as well as environmental data such as ambient temperature and humidity. The challenge for PHM is to filter and integrate such data to drive predictive models.