마코브 연산 기반의 함정 분산 제어망을 위한 실시간 고장 노드 탐지 기법 연구Markov Model-Driven in Real-time Faulty Node Detection for Naval Distributed Control Networked Systems
- Other Titles
- Markov Model-Driven in Real-time Faulty Node Detection for Naval Distributed Control Networked Systems
- Authors
- 노동희; 김동성
- Issue Date
- 2014
- Publisher
- 제어·로봇·시스템학회
- Keywords
- faulty node detection; naval distributed control networked systems; weighting factors; BCH; Markov-Chain model
- Citation
- 제어.로봇.시스템학회 논문지, v.20, no.11, pp.1131 - 1135
- Journal Title
- 제어.로봇.시스템학회 논문지
- Volume
- 20
- Number
- 11
- Start Page
- 1131
- End Page
- 1135
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/2072
- DOI
- 10.5302/J.ICROS.2014.14.8019
- ISSN
- 1976-5622
- Abstract
- This paper proposes the enhanced faulty node detection scheme with hybrid algorithm using Markov-chain model on BCH (Bose-Chaudhuri-Hocquenghem) code in naval distributed control networked systems. The probabilistic model-driven approach, on Markov-chain model, in this paper uses the faulty weighting interval factors, which are based on the BCH code. In this scheme, the master node examines each slave-nodes continuously using three defined states : Good, Warning, Bad-state. These states change using the probabilistic calculation method. This method can improve the performance of detecting the faulty state node more efficiently. Simulation results show that the proposed method can improve the accuracy in faulty node detection scheme for real-time naval distributed control networked systems.
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