Reliability Analysis of Condition Monitoring Network of Wind Turbine Blade Based on Wireless Sensor Networks

Fu, Zhixin; Luo, Yang; Gu, Chenghong; Li, Furong; Yuan, Yue

doi:10.1109/tste.2018.2836664

Cited by 10 publications

(8 citation statements)

References 15 publications

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“…For example, in the problem of node naming, some scholars believe that there is no need to assign a unique identifier to each node, and use attribute-based methods to identify a class of nodes [10]. Scholars believe that each node needs to be assigned a unique identifier [11]- [14].…”

Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm

Zhao

Guo

2019

IEEE Access

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Wireless sensor networks are an important part of the Internet of Things (IoT). For energyconstrained wireless sensor networks, research on topology control with energy saving is a difficult problem. The influence of topology on the overall performance of the network plays an important role, and the topology control algorithm plays a decisive role in the formation of the topology. Based on the research of hierarchical topology control algorithm, an improved algorithm based on energy-saving clustering algorithm (CAEC) is proposed. The algorithm changes the cluster area and performs communication stability by selecting cluster head nodes. The simulation experiments show that the clustering process of the CAEC algorithm is more reasonable than the LEACH algorithm, which prolongs the survival time of the network. The number of surviving nodes in the monitoring area, network energy consumption, and BS receiving data volume are different degrees of improvement during our study.

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Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm

Zhao

Guo

2019

IEEE Access

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“…Other methods such as LH, SS and IS can be incorporated to decrease the computational burden of MCS. ( Aryai and Mahmoodian, 2017 ; Fu et al, 2018 ; Graf et al, 2018 ; Leheta et al, 2017 ) Transformation/Approximation Methods Approximate the failure domain mainly using first or higher order Taylor expansion at the design point. FORM, SORM and Response Surface Method (RSM) Easy to implement and computationally efficient.…”

Section: Reliability Analysis Of the Integrated Systemmentioning

confidence: 99%

Reliability of multi-purpose offshore-facilities: Present status and future direction in Australia

Aryai

Abdussamie

Salehi

et al. 2021

Process Safety and Environmental Protection

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Sustainable use of the ocean for food and energy production is an emerging area of research in different countries around the world. This goal is pursued by the Australian aquaculture, offshore engineering and renewable energy industries, research organisations and the government through the “Blue Economy Cooperative Research Centre”. To address the challenges of offshore food and energy production, leveraging the benefits of co-location, vertical integration, infrastructure and shared services, will be enabled through the development of novel Multi-Purpose Offshore-Platforms (MPOP). The structural integrity of the designed systems when being deployed in the harsh offshore environment is one of the main challenges in developing the MPOPs. Employing structural reliability analysis methods for assessing the structural safety of the novel aquaculture-MPOPs comes with different limitations. This review aims at shedding light on these limitations and discusses the current status and future directions for structural reliability analysis of a novel aquaculture-MPOP considering Australia’s unique environment. To achieve this aim, challenges which exist at different stages of reliability assessment, from data collection and uncertainty quantification to load and structural modelling and reliability analysis implementation, are discussed. Furthermore, several solutions to these challenges are proposed based on the existing knowledge in other sectors, and particularly from the offshore oil and gas industry. Based on the identified gaps in the review process, potential areas for future research are introduced to enable a safer and more reliable operation of the MPOPs.

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“…In the recent research work, a fuzzy based fault diagnosis algorithm has been studied in order to overcome such failure events intelligently [5]. In other previous research works of [6] and [7], WT power system applying WSN have been considered to increase the reliability of fault diagnosis. In [6], the overall reliability of condition monitoring network based on WSN is focused.…”

Section: B Related Work : Intelligent Aglorithm For Offshore Wt Power Systemmentioning

confidence: 99%

A Cooperative Decision Algorithm to Enhance the Wireless Link Connectivity of the Offshore Wind-Turbine Power System with Wireless Networks

Lee¹,

Kim²,

Jeon³

2020

IJCDS

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In general, the condition monitoring system (CMS) with wireless sensor network (WSN) and the wireless USB (WUSB) could be considered as a promising technique to manage the future offshore wind-turbine (WT) power system wirelessly for fully employment of wireless multimedia services. However, it still needs a highly reliable solution to tackle with the wireless link breakage problem caused by offshore capricious climate condition as well as by obstacle of wireless devices. Therefore, in this paper, we suggest a cooperative decision algorithm as to guarantee higher reliability of the supervisory control and data acquisition (SCADA) & CMS's fault diagnosis monitoring operation of the offshore WT power system with WSN-WUSB network. We apply a cooperative decision algorithm for recovering the wireless link disconnection and providing a new link path, based on the proposed Orphan Notification message protocol. This algorithm can intelligently select the transmission path with the better channel conditions and thus, improve the reliability of the network. Simulation result shows that the proposed scheme effectively enhances the wireless link connectivity and the overall network performance.

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Reliability Analysis of Condition Monitoring Network of Wind Turbine Blade Based on Wireless Sensor Networks

Cited by 10 publications

References 15 publications

Notice of Violation of IEEE Publication Principles: Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm

Notice of Violation of IEEE Publication Principles: Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm

Reliability of multi-purpose offshore-facilities: Present status and future direction in Australia

A Cooperative Decision Algorithm to Enhance the Wireless Link Connectivity of the Offshore Wind-Turbine Power System with Wireless Networks

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