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Activity Number: 456
Type: Topic Contributed
Date/Time: Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #305890
Title: Data-Driven Reliability Estimation for Prognostics and Health Management
Author(s): Aparna Huzurbazar*+
Companies: Los Alamos National Laboratory
Address: MS F600, Los Alamos, NM, 87545,
Keywords: Reliability ; complex systems
Abstract:

Prognostics and Health Management (PHM) is increasingly important for understanding and managing today's complex systems. PHM develops the capability to make decisions about maintenance, based on prognostics information, resources, and operational conditions. This talk will present background on PHM, the suite of tools currently available to engineers working in this area the potential contribution that statistical tools and methods can provide. We will discuss the requirements for the types of data most-suited to PHM work and how to incorporate this information into a data-driven, decision making framework for PHM. For us, a primary application of PHM is to predict the future life of the system using data from a variety of sources such as vibration, degradation, and so on. This talk presents how to incorporate such information into a decision-making framework for PHM.

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