Model-Based Health Monitoring for a Vehicle Steering System With Multiple Faults of Unknown Types
| Autor: | Danwei Wang, Ming Yu |
|---|---|
| Přispěvatelé: | School of Electrical and Electronic Engineering |
| Rok vydání: | 2014 |
| Předmět: |
Engineering
business.industry Condition monitoring Control engineering Hardware_PERFORMANCEANDRELIABILITY Intermittent fault Fault indicator Stuck-at fault Engineering::Electrical and electronic engineering::Electronic systems [DRNTU] Control and Systems Engineering Control theory Hybrid system Redundancy (engineering) Electrical and Electronic Engineering Fault model business Bond graph |
| Zdroj: | IEEE Transactions on Industrial Electronics. 61:3574-3586 |
| ISSN: | 1557-9948 0278-0046 |
| DOI: | 10.1109/tie.2013.2281159 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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