Fault Isolation and quality assessment for shipboard monitoring
In this paper a new approach for increasing the overall reliability of a monitoring and decision support system will be explained. The focus is on systems used for ship operator guidance with respect to, say, speed and heading. The basic idea is to convert the given system into a fault tolerant syst...
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The American Society of Mechanical Engineers (ASME)
2010
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ftdtupubl:oai:pure.atira.dk:publications/a234c077-2493-41c2-97cb-74f3fb7c670f 2024-09-15T17:50:23+00:00 Fault Isolation and quality assessment for shipboard monitoring Lajic, Zoran Nielsen, Ulrik Dam Blanke, Mogens 2010 application/pdf https://orbit.dtu.dk/en/publications/a234c077-2493-41c2-97cb-74f3fb7c670f https://backend.orbit.dtu.dk/ws/files/4698349/OMAE2010-20280.pdf http://www.skk.mek.dtu.dk eng eng The American Society of Mechanical Engineers (ASME) https://orbit.dtu.dk/en/publications/a234c077-2493-41c2-97cb-74f3fb7c670f urn:ISBN:978-0-7918-3873-0 info:eu-repo/semantics/restrictedAccess Lajic , Z , Nielsen , U D & Blanke , M 2010 , Fault Isolation and quality assessment for shipboard monitoring . in 29th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2010) . 29 edn , The American Society of Mechanical Engineers (ASME) , Shanghai, China , pp. OMAE2010-20280 , 29th International Conference on Ocean, Offshore and Arctic Engineering , Shanghai , China , 06/06/2010 . < http://www.skk.mek.dtu.dk > Onboard systems Fault Isolation Sensor Fusion Quality (SFQ) test contributionToPeriodical 2010 ftdtupubl 2024-07-29T23:50:17Z In this paper a new approach for increasing the overall reliability of a monitoring and decision support system will be explained. The focus is on systems used for ship operator guidance with respect to, say, speed and heading. The basic idea is to convert the given system into a fault tolerant system and to improve multi-sensor data fusion for the particular system. Fault isolation is an important part of the fault tolerant design for in-service monitoring and decision support systems for ships. In the paper, a virtual example of fault isolation will be presented. Several possible faults will be simulated and isolated using residuals and the generalized likelihood ratio (GLR) algorithm. It will be demonstrated that the approach can be used to increase accuracy of sea state estimations employing sensor fusion quality test. Article in Journal/Newspaper Arctic Technical University of Denmark: DTU Orbit |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Onboard systems Fault Isolation Sensor Fusion Quality (SFQ) test |
spellingShingle |
Onboard systems Fault Isolation Sensor Fusion Quality (SFQ) test Lajic, Zoran Nielsen, Ulrik Dam Blanke, Mogens Fault Isolation and quality assessment for shipboard monitoring |
topic_facet |
Onboard systems Fault Isolation Sensor Fusion Quality (SFQ) test |
description |
In this paper a new approach for increasing the overall reliability of a monitoring and decision support system will be explained. The focus is on systems used for ship operator guidance with respect to, say, speed and heading. The basic idea is to convert the given system into a fault tolerant system and to improve multi-sensor data fusion for the particular system. Fault isolation is an important part of the fault tolerant design for in-service monitoring and decision support systems for ships. In the paper, a virtual example of fault isolation will be presented. Several possible faults will be simulated and isolated using residuals and the generalized likelihood ratio (GLR) algorithm. It will be demonstrated that the approach can be used to increase accuracy of sea state estimations employing sensor fusion quality test. |
format |
Article in Journal/Newspaper |
author |
Lajic, Zoran Nielsen, Ulrik Dam Blanke, Mogens |
author_facet |
Lajic, Zoran Nielsen, Ulrik Dam Blanke, Mogens |
author_sort |
Lajic, Zoran |
title |
Fault Isolation and quality assessment for shipboard monitoring |
title_short |
Fault Isolation and quality assessment for shipboard monitoring |
title_full |
Fault Isolation and quality assessment for shipboard monitoring |
title_fullStr |
Fault Isolation and quality assessment for shipboard monitoring |
title_full_unstemmed |
Fault Isolation and quality assessment for shipboard monitoring |
title_sort |
fault isolation and quality assessment for shipboard monitoring |
publisher |
The American Society of Mechanical Engineers (ASME) |
publishDate |
2010 |
url |
https://orbit.dtu.dk/en/publications/a234c077-2493-41c2-97cb-74f3fb7c670f https://backend.orbit.dtu.dk/ws/files/4698349/OMAE2010-20280.pdf http://www.skk.mek.dtu.dk |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Lajic , Z , Nielsen , U D & Blanke , M 2010 , Fault Isolation and quality assessment for shipboard monitoring . in 29th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2010) . 29 edn , The American Society of Mechanical Engineers (ASME) , Shanghai, China , pp. OMAE2010-20280 , 29th International Conference on Ocean, Offshore and Arctic Engineering , Shanghai , China , 06/06/2010 . < http://www.skk.mek.dtu.dk > |
op_relation |
https://orbit.dtu.dk/en/publications/a234c077-2493-41c2-97cb-74f3fb7c670f urn:ISBN:978-0-7918-3873-0 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
_version_ |
1810292215802494976 |