Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution

During reliability analysis, analysts often encounter multiple repairable units operating in different environments for various applications such as marine, power generation, and propulsion. Thus, a reliability approach that accounts for varying operating conditions is invaluable to ensure system av...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahsan, S., Lemma, T.A., Gebremariam, M.A.
Format: Article
Published: John Wiley and Sons Inc. 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075761987&doi=10.1002%2fprs.12115&partnerID=40&md5=742953aaadd348d4fcb731feaccdc9dc
http://eprints.utp.edu.my/23292/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Petronas
id my.utp.eprints.23292
record_format eprints
spelling my.utp.eprints.232922021-08-19T07:26:16Z Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution Ahsan, S. Lemma, T.A. Gebremariam, M.A. During reliability analysis, analysts often encounter multiple repairable units operating in different environments for various applications such as marine, power generation, and propulsion. Thus, a reliability approach that accounts for varying operating conditions is invaluable to ensure system availability. Therefore, fault probability described by some characteristic parameters and their accurate estimation has been a vital task for understanding system's behavior. The time between failures is utilized to estimate Weibull parameters that define the system. The application of gas turbine is presented as a case study. Five different cases are discussed based on distinct operating conditions and faults. The results obtained demonstrate the effectiveness of the proposed method for assessing operational reliability. The three-parameter Weibull distribution was found to best fit the failure data with the root mean square error between 0.0369 and 0.0688 for maximum likelihood estimation and 0.04184 and 0.0733 for the least square method. Based on these results, it is deduced that the system under consideration is at the end of its operational life. Furthermore, it is observed that an increase in maintenance interval leads to a decline in meantime to failure, which is indicative of the need to select maintenance interval wisely. Findings from this study helps to improve the understanding of gas turbine behavior based on reliability and survival analysis. © 2019 American Institute of Chemical Engineers John Wiley and Sons Inc. 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075761987&doi=10.1002%2fprs.12115&partnerID=40&md5=742953aaadd348d4fcb731feaccdc9dc Ahsan, S. and Lemma, T.A. and Gebremariam, M.A. (2020) Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution. Process Safety Progress, 39 (S1). http://eprints.utp.edu.my/23292/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description During reliability analysis, analysts often encounter multiple repairable units operating in different environments for various applications such as marine, power generation, and propulsion. Thus, a reliability approach that accounts for varying operating conditions is invaluable to ensure system availability. Therefore, fault probability described by some characteristic parameters and their accurate estimation has been a vital task for understanding system's behavior. The time between failures is utilized to estimate Weibull parameters that define the system. The application of gas turbine is presented as a case study. Five different cases are discussed based on distinct operating conditions and faults. The results obtained demonstrate the effectiveness of the proposed method for assessing operational reliability. The three-parameter Weibull distribution was found to best fit the failure data with the root mean square error between 0.0369 and 0.0688 for maximum likelihood estimation and 0.04184 and 0.0733 for the least square method. Based on these results, it is deduced that the system under consideration is at the end of its operational life. Furthermore, it is observed that an increase in maintenance interval leads to a decline in meantime to failure, which is indicative of the need to select maintenance interval wisely. Findings from this study helps to improve the understanding of gas turbine behavior based on reliability and survival analysis. © 2019 American Institute of Chemical Engineers
format Article
author Ahsan, S.
Lemma, T.A.
Gebremariam, M.A.
spellingShingle Ahsan, S.
Lemma, T.A.
Gebremariam, M.A.
Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution
author_facet Ahsan, S.
Lemma, T.A.
Gebremariam, M.A.
author_sort Ahsan, S.
title Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution
title_short Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution
title_full Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution
title_fullStr Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution
title_full_unstemmed Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution
title_sort reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution
publisher John Wiley and Sons Inc.
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075761987&doi=10.1002%2fprs.12115&partnerID=40&md5=742953aaadd348d4fcb731feaccdc9dc
http://eprints.utp.edu.my/23292/
_version_ 1738656451270803456