Synchronous Online Diagnosis of Multiple Cable Intermittent Faults Based on Chaotic Spread Spectrum Sequence
| Autor: | Suyang Hu, Bin Zhang, Jianmei Mao, Chuang Gao, Li Wang, Shanshui Yang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Sequence
Series (mathematics) Computer science 020208 electrical & electronic engineering Chaotic 02 engineering and technology Intermittent fault Nonlinear Sciences::Chaotic Dynamics Spread spectrum Electric power system Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Reflection coefficient Electrical impedance |
| Zdroj: | IEEE Transactions on Industrial Electronics. :1-1 |
| ISSN: | 1557-9948 0278-0046 |
| DOI: | 10.1109/tie.2018.2842737 |
| Popis: | This paper proposes a method based on chaotic spread spectrum sequence for synchronous online diagnosis of intermittent faults for complex and cable. networks, such as the aircraft power system. The novelties of the proposed method include: 1) since chaotic spread spectrum signals are sensitive to initial values, the number of chaotic sequences are not limited and the proposed method is not limited by the number of cables under monitoring; 2) with the self-correlation characteristic and cross-correlation characteristic of chaotic sequence, the proposed method can be extended to online diagnosis of multiple cable intermittent faults; and 3) the signal source impedance amplification method is proposed for intermittent arc faults of multiple cables, which improves the reflection coefficient and increases the accuracy of online detection and location of intermittent arc faults. A series of simulations and experiments on multiple cables with different intermittent fault modes are conducted to verify the effectiveness of the proposed approaches. |
| Databáze: | OpenAIRE |
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