Maintenance-based prognostics of nuclear plant equipment for long-term operation
While industry understands the importance of keeping equipment operational and well maintained, the importance of tracking maintenance information in reliability models is often overlooked. Prognostic models can be used to predict the failure times of critical equipment, but more often than not, the...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017-08-01
|
Series: | Nuclear Engineering and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573317303236 |
_version_ | 1818949675782242304 |
---|---|
author | Zachary Welz Jamie Coble Belle Upadhyaya Wes Hines |
author_facet | Zachary Welz Jamie Coble Belle Upadhyaya Wes Hines |
author_sort | Zachary Welz |
collection | DOAJ |
description | While industry understands the importance of keeping equipment operational and well maintained, the importance of tracking maintenance information in reliability models is often overlooked. Prognostic models can be used to predict the failure times of critical equipment, but more often than not, these models assume that all maintenance actions are the same or do not consider maintenance at all. This study investigates the influence of integrating maintenance information on prognostic model prediction accuracy. By incorporating maintenance information to develop maintenance-dependent prognostic models, prediction accuracy was improved by more than 40% compared with traditional maintenance-independent models. This study acts as a proof of concept, showing the importance of utilizing maintenance information in modern prognostics for industrial equipment. |
first_indexed | 2024-12-20T09:06:28Z |
format | Article |
id | doaj.art-feb8abae8a4a4eb896e13d36c0576185 |
institution | Directory Open Access Journal |
issn | 1738-5733 |
language | English |
last_indexed | 2024-12-20T09:06:28Z |
publishDate | 2017-08-01 |
publisher | Elsevier |
record_format | Article |
series | Nuclear Engineering and Technology |
spelling | doaj.art-feb8abae8a4a4eb896e13d36c05761852022-12-21T19:45:42ZengElsevierNuclear Engineering and Technology1738-57332017-08-0149591491910.1016/j.net.2017.06.001Maintenance-based prognostics of nuclear plant equipment for long-term operationZachary WelzJamie CobleBelle UpadhyayaWes HinesWhile industry understands the importance of keeping equipment operational and well maintained, the importance of tracking maintenance information in reliability models is often overlooked. Prognostic models can be used to predict the failure times of critical equipment, but more often than not, these models assume that all maintenance actions are the same or do not consider maintenance at all. This study investigates the influence of integrating maintenance information on prognostic model prediction accuracy. By incorporating maintenance information to develop maintenance-dependent prognostic models, prediction accuracy was improved by more than 40% compared with traditional maintenance-independent models. This study acts as a proof of concept, showing the importance of utilizing maintenance information in modern prognostics for industrial equipment.http://www.sciencedirect.com/science/article/pii/S1738573317303236MaintenancePredictivePrognosticsReliabilityRepairSustainability |
spellingShingle | Zachary Welz Jamie Coble Belle Upadhyaya Wes Hines Maintenance-based prognostics of nuclear plant equipment for long-term operation Nuclear Engineering and Technology Maintenance Predictive Prognostics Reliability Repair Sustainability |
title | Maintenance-based prognostics of nuclear plant equipment for long-term operation |
title_full | Maintenance-based prognostics of nuclear plant equipment for long-term operation |
title_fullStr | Maintenance-based prognostics of nuclear plant equipment for long-term operation |
title_full_unstemmed | Maintenance-based prognostics of nuclear plant equipment for long-term operation |
title_short | Maintenance-based prognostics of nuclear plant equipment for long-term operation |
title_sort | maintenance based prognostics of nuclear plant equipment for long term operation |
topic | Maintenance Predictive Prognostics Reliability Repair Sustainability |
url | http://www.sciencedirect.com/science/article/pii/S1738573317303236 |
work_keys_str_mv | AT zacharywelz maintenancebasedprognosticsofnuclearplantequipmentforlongtermoperation AT jamiecoble maintenancebasedprognosticsofnuclearplantequipmentforlongtermoperation AT belleupadhyaya maintenancebasedprognosticsofnuclearplantequipmentforlongtermoperation AT weshines maintenancebasedprognosticsofnuclearplantequipmentforlongtermoperation |