Standardizing research methods for prognostics

Serdar Uckun; Kai Goebel; Peter J.F. Lucas

doi:10.1109/PHM.2008.4711437

Standardizing research methods for prognostics

Serdar Uckun^*, Kai Goebel, Peter J.F. Lucas

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

103 Citations (Scopus)

Abstract

Prognostics and health management (PHM) is a maturing system engineering discipline. As with most maturing disciplines, PHM does not yet have a universally accepted research methodology. As a result, most component life estimation efforts are based on ad-hoc experimental methods that lack statistical rigor. In this paper, we provide a critical review of current research methods in PHM and contrast these methods with standard research approaches in a more established discipline (medicine). We summarize the developmental steps required for PHM to reach full maturity and to generate actionable results with true business impact.

Original language	English
Title of host publication	2008 International Conference on Prognostics and Health Management, PHM 2008
Publisher	IEEE
Number of pages	10
ISBN (Print)	9781424419357
DOIs	https://doi.org/10.1109/PHM.2008.4711437
Publication status	Published - 12 Dec 2008
Externally published	Yes
Event	2008 International Conference on Prognostics and Health Management, PHM 2008 - Denver, United States Duration: 6 Oct 2008 → 9 Oct 2008

Conference

Conference	2008 International Conference on Prognostics and Health Management, PHM 2008
Abbreviated title	PHM 2008
Country/Territory	United States
City	Denver
Period	6/10/08 → 9/10/08

Keywords

n/a OA procedure
Prognostics
Prognostics and health management
Research methods
Performance metrics

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10.1109/PHM.2008.4711437

Cite this

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title = "Standardizing research methods for prognostics",

abstract = "Prognostics and health management (PHM) is a maturing system engineering discipline. As with most maturing disciplines, PHM does not yet have a universally accepted research methodology. As a result, most component life estimation efforts are based on ad-hoc experimental methods that lack statistical rigor. In this paper, we provide a critical review of current research methods in PHM and contrast these methods with standard research approaches in a more established discipline (medicine). We summarize the developmental steps required for PHM to reach full maturity and to generate actionable results with true business impact.",

keywords = "n/a OA procedure, Prognostics, Prognostics and health management, Research methods, Performance metrics",

author = "Serdar Uckun and Kai Goebel and Lucas, {Peter J.F.}",

year = "2008",

month = dec,

day = "12",

doi = "10.1109/PHM.2008.4711437",

language = "English",

isbn = "9781424419357",

booktitle = "2008 International Conference on Prognostics and Health Management, PHM 2008",

publisher = "IEEE",

address = "United States",

note = "2008 International Conference on Prognostics and Health Management, PHM 2008, PHM 2008 ; Conference date: 06-10-2008 Through 09-10-2008",

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TY - GEN

T1 - Standardizing research methods for prognostics

AU - Uckun, Serdar

AU - Goebel, Kai

AU - Lucas, Peter J.F.

PY - 2008/12/12

Y1 - 2008/12/12

N2 - Prognostics and health management (PHM) is a maturing system engineering discipline. As with most maturing disciplines, PHM does not yet have a universally accepted research methodology. As a result, most component life estimation efforts are based on ad-hoc experimental methods that lack statistical rigor. In this paper, we provide a critical review of current research methods in PHM and contrast these methods with standard research approaches in a more established discipline (medicine). We summarize the developmental steps required for PHM to reach full maturity and to generate actionable results with true business impact.

AB - Prognostics and health management (PHM) is a maturing system engineering discipline. As with most maturing disciplines, PHM does not yet have a universally accepted research methodology. As a result, most component life estimation efforts are based on ad-hoc experimental methods that lack statistical rigor. In this paper, we provide a critical review of current research methods in PHM and contrast these methods with standard research approaches in a more established discipline (medicine). We summarize the developmental steps required for PHM to reach full maturity and to generate actionable results with true business impact.

KW - n/a OA procedure

KW - Prognostics

KW - Prognostics and health management

KW - Research methods

KW - Performance metrics

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U2 - 10.1109/PHM.2008.4711437

DO - 10.1109/PHM.2008.4711437

M3 - Conference contribution

AN - SCOPUS:58449105137

SN - 9781424419357

BT - 2008 International Conference on Prognostics and Health Management, PHM 2008

PB - IEEE

T2 - 2008 International Conference on Prognostics and Health Management, PHM 2008

Y2 - 6 October 2008 through 9 October 2008

ER -

Standardizing research methods for prognostics

Abstract

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Keywords

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