NDLI: A decision support model for determining the applicability of prognostic health management (PHM) approaches to electronic systems

Content Provider	IEEE Xplore Digital Library
Author	Sandborn, P.
Copyright Year	2005
Description	Author affiliation: Dept. of Mech. Eng., Maryland Univ., College Park, MD, USA (Sandborn, P.)
Abstract	This paper presents a model that enables the determination of when scheduled maintenance makes sense, and how to optimally interpret prognostic health management (PHM) results for electronic systems. In this context, optimal interpretation of PHM results means translating PHM information into maintenance policies that minimize life cycle costs. The electronics PHM problem is characterized by imperfect and partial monitoring and a significant random/overstress failure component must be considered in the decision process. Specifically the model enables determining on an application-specific basis when the reliability of electronics has become predictable enough to warrant the application of PHM-based scheduled maintenance concepts. Given that the forecasting ability of PHM (whether health monitoring or life consumption monitoring based) is fraught with uncertainties in the sensor data collected, the models applied, the material parameters assumed in the models, etc., the model in this paper addresses how PHM results can be interpreted so as to provide value to the system. The result of the model is the determination of optimal safety margins on life consumption monitoring predictions and prognostic distances for health monitoring. The model provides the type of information needed to construct a business case showing the application-specific usefulness of health monitoring and/or life consumption monitoring for electronic systems.
Starting Page	422
Ending Page	427
File Size	677308
Page Count	6
File Format	PDF
ISBN	0780388240
ISSN	0149144X
DOI	10.1109/RAMS.2005.1408399
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-01-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prognostics and health management Condition monitoring Predictive models Maintenance Uncertainty Cost function Life estimation Thermal stresses Physics Sensor systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Decision Support Model for Determining the Applicability of Prognostic Health Management (PHM) Approaches to Electronic Systems

A Decision Support Model for Determining the Applicability of Prognostic Health Management (PHM) Approaches to Electronic Systems (2005)

An Options Approach for Decision Support of Systems With Prognostic Capabilities

Using real options to manage condition-based maintenance enabled by PHM

Support for condition based maintenance Operating equipment performances monitoring

Study on Maintenance Decision-making Technology Based on Multi-Agent in PHM

On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges

Research on PHM technology application of ship maintenance program optimization

Prognostic algorithm categorization with PHM Challenge application

A decision support model for determining the applicability of prognostic health management (PHM) approaches to electronic systems

Similar Documents

A Decision Support Model for Determining the Applicability of Prognostic Health Management (PHM) Approaches to Electronic Systems

A Decision Support Model for Determining the Applicability of Prognostic Health Management (PHM) Approaches to Electronic Systems (2005)

An Options Approach for Decision Support of Systems With Prognostic Capabilities

Using real options to manage condition-based maintenance enabled by PHM

Support for condition based maintenance Operating equipment performances monitoring

Study on Maintenance Decision-making Technology Based on Multi-Agent in PHM

On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges

Research on PHM technology application of ship maintenance program optimization

Prognostic algorithm categorization with PHM Challenge application

A decision support model for determining the applicability of prognostic health management (PHM) approaches to electronic systems