Research and Application of a Fault Self-Diagnosis Method for Roots Flowmeter Based on WSN Node
| Autor: | Xue-jiao Liu, Xiang-guang Chen, Jun Zhao, Qiao-yan Sun, Yu-mei Sun |
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| Rok vydání: | 2017 |
| Předmět: |
Computer science
020208 electrical & electronic engineering Real-time computing 020206 networking & telecommunications Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Self-diagnosis Fault (power engineering) Flow measurement Computer Science Applications Vibration 0202 electrical engineering electronic engineering information engineering ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Node (circuits) State (computer science) Electrical and Electronic Engineering Wireless sensor network Encoder |
| Zdroj: | Wireless Personal Communications. 95:2315-2330 |
| ISSN: | 1572-834X 0929-6212 |
| DOI: | 10.1007/s11277-017-4104-8 |
| Popis: | In order to diagnose whether the photoelectric encoder of Roots flow meter is working well in assuring the wireless sensor networks (WSN) work properly, this paper discusses the features of Roots flow meter and proposes an on-line fault self-diagnosis method. First, a flexible fault sensing circuit is designed as a state detection module on WSN node. Second, a fault self-diagnosis method is proposed. The fault diagnosis method is based on the vibration frequency of Roots flow meter. The failure is diagnosed by whether the relationship between the measurement of instantaneous flow and the vibration frequency is correct. Experiment results demonstrate the fault self-diagnosis method is suit to the application in WSN nodes and the WSN nodes have been successfully applied to the oil tank trucks. |
| Databáze: | OpenAIRE |
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