On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization

Teemu J. Ikonen; Iiro Harjunkoski

doi:10.1016/B978-0-323-88506-5.50096-6

On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization

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Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

The maximum likelihood estimate is a method for fitting failure models to lifetime data. In the literature, a commonly used practice is to find a combination of model parameter values where the partial derivatives of the log-likelihood are zero. We show that greater log-likelihood values can be found by using the Nelder-Mead optimization algorithm with adaptive parameters. We demonstrate that the improved fitting has a significant impact on the decision-making on a selective maintenance optimization problem, defined using the failure model by Sarhan and Apaloo (Reliab Eng & Syst Saf, 2013, 112, 137-144).

Original language	English
Title of host publication	Computer Aided Chemical Engineering
Editors	Metin Türkay, Rafiqul Gani
Publisher	Elsevier
Pages	605-610
Number of pages	6
ISBN (Electronic)	978-0-323-88513-3
ISBN (Print)	978-0-323-88506-5
DOIs	https://doi.org/10.1016/B978-0-323-88506-5.50096-6
Publication status	Published - 25 Jun 2021
MoE publication type	A4 Conference publication
Event	European Symposium on Computer Aided Process Engineering - Virtual, Online Duration: 6 Jun 2021 → 9 Jun 2021 Conference number: 31

Publication series

Name	Computer Aided Chemical Engineering
Volume	50
ISSN (Print)	1570-7946

Conference

Conference	European Symposium on Computer Aided Process Engineering
Abbreviated title	ESCAPE
City	Virtual, Online
Period	06/06/2021 → 09/06/2021

Keywords

decision-making
model fitting
optimization
reliability

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10.1016/B978-0-323-88506-5.50096-6

Cite this

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title = "On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization",

abstract = "The maximum likelihood estimate is a method for fitting failure models to lifetime data. In the literature, a commonly used practice is to find a combination of model parameter values where the partial derivatives of the log-likelihood are zero. We show that greater log-likelihood values can be found by using the Nelder-Mead optimization algorithm with adaptive parameters. We demonstrate that the improved fitting has a significant impact on the decision-making on a selective maintenance optimization problem, defined using the failure model by Sarhan and Apaloo (Reliab Eng & Syst Saf, 2013, 112, 137-144).",

keywords = "decision-making, model fitting, optimization, reliability",

author = "Ikonen, {Teemu J.} and Iiro Harjunkoski",

note = "Funding Information: Acknowledgment: Financial support from the Academy of Finland is gratefully acknowledged (project RELOOP, decision number 330388). Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.; European Symposium on Computer Aided Process Engineering, ESCAPE ; Conference date: 06-06-2021 Through 09-06-2021",

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doi = "10.1016/B978-0-323-88506-5.50096-6",

language = "English",

isbn = "978-0-323-88506-5",

series = "Computer Aided Chemical Engineering",

publisher = "Elsevier",

pages = "605--610",

editor = "Metin T{\"u}rkay and Rafiqul Gani",

booktitle = "Computer Aided Chemical Engineering",

address = "Netherlands",

}

Ikonen, TJ & Harjunkoski, I 2021, On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization. in M Türkay & R Gani (eds), Computer Aided Chemical Engineering. Computer Aided Chemical Engineering, vol. 50, Elsevier, pp. 605-610, European Symposium on Computer Aided Process Engineering, Virtual, Online, 06/06/2021. https://doi.org/10.1016/B978-0-323-88506-5.50096-6

On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization. / Ikonen, Teemu J.; Harjunkoski, Iiro.
Computer Aided Chemical Engineering. ed. / Metin Türkay; Rafiqul Gani. Elsevier, 2021. p. 605-610 (Computer Aided Chemical Engineering; Vol. 50).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization

AU - Ikonen, Teemu J.

AU - Harjunkoski, Iiro

N1 - Conference code: 31

PY - 2021/6/25

Y1 - 2021/6/25

N2 - The maximum likelihood estimate is a method for fitting failure models to lifetime data. In the literature, a commonly used practice is to find a combination of model parameter values where the partial derivatives of the log-likelihood are zero. We show that greater log-likelihood values can be found by using the Nelder-Mead optimization algorithm with adaptive parameters. We demonstrate that the improved fitting has a significant impact on the decision-making on a selective maintenance optimization problem, defined using the failure model by Sarhan and Apaloo (Reliab Eng & Syst Saf, 2013, 112, 137-144).

AB - The maximum likelihood estimate is a method for fitting failure models to lifetime data. In the literature, a commonly used practice is to find a combination of model parameter values where the partial derivatives of the log-likelihood are zero. We show that greater log-likelihood values can be found by using the Nelder-Mead optimization algorithm with adaptive parameters. We demonstrate that the improved fitting has a significant impact on the decision-making on a selective maintenance optimization problem, defined using the failure model by Sarhan and Apaloo (Reliab Eng & Syst Saf, 2013, 112, 137-144).

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KW - model fitting

KW - optimization

KW - reliability

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U2 - 10.1016/B978-0-323-88506-5.50096-6

DO - 10.1016/B978-0-323-88506-5.50096-6

M3 - Conference article in proceedings

AN - SCOPUS:85110290241

SN - 978-0-323-88506-5

T3 - Computer Aided Chemical Engineering

SP - 605

EP - 610

BT - Computer Aided Chemical Engineering

A2 - Türkay, Metin

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PB - Elsevier

T2 - European Symposium on Computer Aided Process Engineering

Y2 - 6 June 2021 through 9 June 2021

ER -

On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization

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Keywords

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