An Overview of Prognostic Health Management

Abstract

Andre and Fred discussing a basic overview and the benefits of PHM.

Key Points

Join Andre and Fred as they discuss PHM, what it is and isn’t, plus how you can get started.

Topics include:

What is PHM?
When it works well, a few examples.
How to get started applying PHM

Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.

SOR 267 An Overview of Prognostic Health ManagementAndre Kleyner

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Show Notes

The PHM Society with journal, conference, and community

2018 Prognostics and System Health Management Conference

About Andre Kleyner

Andre Kleyner has 30 years of engineering, research, consulting, and managerial experience specializing in reliability of electronic and mechanical systems designed to operate in severe environments. He received the doctorate in Mechanical Engineering from University of Maryland, and Master of Business Administration from Ball State University. Dr. Kleyner is Global Reliability Engineering Leader with Delphi Electronics & Safety and an adjunct professor at Purdue University. He is an ASQ Fellow, a CRE, CQE, and Six Sigma Black Belt. He also holds several US and foreign patents and authored multiple professional publications including three books on the topics of reliability, statistics, warranty management, and lifecycle cost analysis. Andre Kleyner is also the editor of the Wiley book Series in Quality and Reliability Engineering published by John Wiley & Sons.

Comments

Hilaire Perera says
November 24, 2017 at 4:42 PM
Prognostic Health Management (PHM) is a methodology that permits the assessment of the reliability of a system under its actual application conditions, and exercises necessary management actions.
Prognostics utilizes in-situ monitoring and analysis to assess system degradation, and determine the Remaining Useful Life (RUL) of an asset. The RUL of an asset is defined as the length of time from the present time to the end of useful life. The need for RUL estimation is obvious because it relates to a frequently asked question in industry, which is how long a monitored asset can survive based on the available information. Based on the RUL estimation, appropriate actions can be planned. Especially for critical equipment, such as aircraft engines, or inertial navigation platforms used in aerospace and weapon systems, determining if and when to take equipment out of service is important from both a cost-effective point of view and a safety point of view.
It is critically important to assess the RUL of an asset while it is in use, as this information impacts the planning of maintenance activities, the supply chain, replenishment of the inventory system, operational performance, and profitability of the owner of an asset
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To learn and apply PHM methodology, recommend joining the CALCE Prognostic and Health Management Group http://www.prognostics.umd.edu/
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