dc.contributor.author | Cheng, Xu | |
dc.contributor.author | Ellefsen, Andre | |
dc.contributor.author | Li, Guoyuan | |
dc.contributor.author | Holmeset, Finn Tore | |
dc.contributor.author | Chen, Shengyong | |
dc.contributor.author | Zhang, Houxiang | |
dc.date.accessioned | 2019-09-24T11:43:23Z | |
dc.date.available | 2019-09-24T11:43:23Z | |
dc.date.created | 2019-09-23T10:06:22Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-7281-1699-0 | |
dc.identifier.uri | http://hdl.handle.net/11250/2618495 | |
dc.description.abstract | Developing a reliable algorithm to detect faults automatically within critical components in autonomous ferries is essential for safe and cost-beneficial maritime operations. Autonomous ferries are equipped with hundreds of sensors. Thus, in order to support the algorithm, the input data should be subjected to a feature selection process. This paper introduces a novel step-wise feature selection scheme for prognostics and health management (PHM) system in autonomous ferries. The scheme mainly consists of two steps. The first step is the Pearson correlation analysis to reduce the redundant information among sensors. In order to study the importance of the selected features obtained by correlation analysis and removal of irrelevant features, the second step is sensitivity analysis (SA) based feature selection. The proposed scheme is evaluated on real-operational marine diesel engine data. In the experiments, both fault classification and fault detection demonstrate the feasibility of the proposed approach. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.relation.ispartof | Proceedings of 2019 IEEE International Conference on Mechatronics and Automation August 4 - 7, Tianjin, China | |
dc.title | A Step-wise Feature Selection Scheme for a Prognostics and Health Management System in Autonomous Ferry Crossing Operation | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.identifier.doi | 10.1109/ICMA.2019.8816219 | |
dc.identifier.cristin | 1727656 | |
dc.relation.project | Norges forskningsråd: 237929 | nb_NO |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,64,93,0 | |
cristin.unitname | Institutt for havromsoperasjoner og byggteknikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |