Projects per year
Abstract
This paper proposes a reliability analysis method for the condition monitoring network of wind turbine blade based on wireless sensor networks. Two critical factors, which play significant roles in the reliability evaluation of the monitoring network, are focused on, that is, the reliability of sensor nodes and the reliability of communication links. First, with the established reliability models for sensor nodes and communication links, the method of establishing reliability simulation model of monitoring network is presented based on Monte Carlo method. Second, according to the analysis of the intra-cluster reliabilities of the tree topology and the mesh topology, the topology selection principle of the sensor network for a single blade is proposed. Finally, the influence of maintenance cycle and communication interference on the overall reliability of the monitoring network is illustrated and the proper maintenance cycle is achieved. The solution to communication interference is put forward with the data retransmission measure. The overall reliability of the network is improved effectively by adopting the one-time data retransmission measure. Our work is expected to provide the guidance in theory and technology for constructing the high-performance condition monitoring and control system for wind turbine blades.
Original language | English |
---|---|
Article number | 8359131 |
Pages (from-to) | 549-557 |
Number of pages | 9 |
Journal | IEEE Transactions on Sustainable Energy |
Volume | 10 |
Issue number | 2 |
Early online date | 15 May 2018 |
DOIs | |
Publication status | Published - 1 Apr 2019 |
Keywords
- Blades
- Condition monitoring
- data retransmission
- Monitoring
- monitoring network
- Monte Carlo methods
- Network topology
- Reliability
- reliability
- Stress
- wind turbine blade
- Wind turbines
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
Fingerprint
Dive into the research topics of 'Reliability analysis of condition monitoring network of wind turbine blade based on wireless sensor networks'. Together they form a unique fingerprint.Projects
- 2 Finished
-
Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)
Li, F. (PI), Jeon, J. (CoI) & Li, R. (CoI)
Engineering and Physical Sciences Research Council
1/09/16 → 29/02/20
Project: Research council
-
Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
Gu, C. (PI)
Engineering and Physical Sciences Research Council
1/09/14 → 31/08/17
Project: Research council