Model-based health monitoring for a vehicle steering system with multiple faults of unknown types
This paper presents a model-based fault diagnosis and prognosis scheme for a vehicle steering system. The steering system is modeled as a hybrid system with continuous dynamics and discrete modes using the hybrid bond graph tool. Multiple faults of different types, i.e., abrupt fault, incipient faul...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2014
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| Online Access: | https://hdl.handle.net/10356/103915 http://hdl.handle.net/10220/19329 |
| _version_ | 1824453685854339072 |
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| author | Yu, Ming Wang, Danwei |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Yu, Ming Wang, Danwei |
| author_sort | Yu, Ming |
| collection | NTU |
| description | This paper presents a model-based fault diagnosis and prognosis scheme for a vehicle steering system. The steering system is modeled as a hybrid system with continuous dynamics and discrete modes using the hybrid bond graph tool. Multiple faults of different types, i.e., abrupt fault, incipient fault, and intermittent fault, are considered using the concept of Augmented Global Analytical Redundancy Relations (AGARRs). A fault discriminator is constructed to distinguish the type of faults once they are detected. After that, a fault identification scheme is proposed to estimate the magnitude of abrupt faults, the characteristic of intermittent faults, and the degradation behavior of incipient faults. The fault identification is realized by using a new adaptive hybrid differential evolution (AHDE) algorithm with less control parameters. Based on the identified degradation behavior of incipient faults, prognosis is carried out to predict the remaining useful life of faulty components. The proposed algorithm is verified experimentally on the steering system of a CyCab electric vehicle. |
| first_indexed | 2025-02-19T03:10:21Z |
| format | Journal Article |
| id | ntu-10356/103915 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:10:21Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1039152020-03-07T14:00:34Z Model-based health monitoring for a vehicle steering system with multiple faults of unknown types Yu, Ming Wang, Danwei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems This paper presents a model-based fault diagnosis and prognosis scheme for a vehicle steering system. The steering system is modeled as a hybrid system with continuous dynamics and discrete modes using the hybrid bond graph tool. Multiple faults of different types, i.e., abrupt fault, incipient fault, and intermittent fault, are considered using the concept of Augmented Global Analytical Redundancy Relations (AGARRs). A fault discriminator is constructed to distinguish the type of faults once they are detected. After that, a fault identification scheme is proposed to estimate the magnitude of abrupt faults, the characteristic of intermittent faults, and the degradation behavior of incipient faults. The fault identification is realized by using a new adaptive hybrid differential evolution (AHDE) algorithm with less control parameters. Based on the identified degradation behavior of incipient faults, prognosis is carried out to predict the remaining useful life of faulty components. The proposed algorithm is verified experimentally on the steering system of a CyCab electric vehicle. Accepted version 2014-05-15T02:06:21Z 2019-12-06T21:22:59Z 2014-05-15T02:06:21Z 2019-12-06T21:22:59Z 2013 2013 Journal Article Yu, M., & Wang, D. (2014). Model-Based Health Monitoring for a Vehicle Steering System With Multiple Faults of Unknown Types. IEEE Transactions on Industrial Electronics, 61(7), 3574-3586. 0278-0046 https://hdl.handle.net/10356/103915 http://hdl.handle.net/10220/19329 10.1109/TIE.2013.2281159 en IEEE transactions on industrial electronics © 2013 IEEE. This is the author created version of a work that has been peer reviewed and accepted for publication by IEEE Transactions on Industrial Electronics, IEEE. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI:http://dx.doi.org/10.1109/TIE.2013.2281159]. 8 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Yu, Ming Wang, Danwei Model-based health monitoring for a vehicle steering system with multiple faults of unknown types |
| title | Model-based health monitoring for a vehicle steering system with multiple faults of unknown types |
| title_full | Model-based health monitoring for a vehicle steering system with multiple faults of unknown types |
| title_fullStr | Model-based health monitoring for a vehicle steering system with multiple faults of unknown types |
| title_full_unstemmed | Model-based health monitoring for a vehicle steering system with multiple faults of unknown types |
| title_short | Model-based health monitoring for a vehicle steering system with multiple faults of unknown types |
| title_sort | model based health monitoring for a vehicle steering system with multiple faults of unknown types |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems |
| url | https://hdl.handle.net/10356/103915 http://hdl.handle.net/10220/19329 |
| work_keys_str_mv | AT yuming modelbasedhealthmonitoringforavehiclesteeringsystemwithmultiplefaultsofunknowntypes AT wangdanwei modelbasedhealthmonitoringforavehiclesteeringsystemwithmultiplefaultsofunknowntypes |