Remote Maintenance and Communication System for Wind Turbines

This article describes how a shared vision systems support people to solve a problem from different places. The advantages of the system are, reduction in time to diagnose and resolve maintenance issues, reduction in diagnosis errors, reduced travel costs for experts, and increased reliability in service. The aim of this article is to analyze the benefits of a shared vision system for maintenance and repair tasks for wind turbines as well as to improve the occupational safety and health. The entire process for wind turbines, from installation to operation and maintenance deals with very large components and maintenance operations are actually quite complicated. Therefore, instead of wind turbine, a substitute system is used for the experiment to analyze the advantages of a shared vision system for maintenance operations. The substitute system and the wind turbine have similar mechanical and electrical failures that need to be solved. As a part of this article, a substitute system is used and implemented by using a shared vision system for maintenance operation.

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Wind Turbine Remote Maintenance With Wearable Technologies

International Journal of Green Computing ◽

10.4018/ijgc.2017010103 ◽

2017 ◽

Vol 8 (1) ◽

pp. 36-54

Author(s):

Buket Celik Ünal ◽

Onur Ünal

Keyword(s):

Wind Turbine ◽

New Technologies ◽

Vision System ◽

Collaborative Work ◽

Shared Vision ◽

Internet Technology ◽

Test Case ◽

Enabling Technology ◽

Remote Maintenance ◽

Case Application

This article describes how the renewable energy sector is increasing in size and wind turbine technology has improved. With the development of internet technology maintenance efficiency has improved. Maintenance is a core activity of the production life cycle since it accounts for 60 to 70% of its total costs. This has led to increased need for maintenance planning and the implementation of new technologies. Shared vision system (SVS) is another enabling technology used for dealing with the increasingly complex maintenance procedures. The main objective of this article is to develop a SVS technology for remote maintenance by enabling cooperation between the technician and the expert. The system represents a solution within the intersection of the areas of problem solving and remote support in the context of collaborative work. As a test case application to show the potential of a SVS considering the following targets: improve time taken to complete maintenance tasks and improve the communication between the technician and the expert.

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Sustainable End-of-Life Management of Wind Turbine Blades: Overview of Current and Coming Solutions

Materials ◽

10.3390/ma14051124 ◽

2021 ◽

Vol 14 (5) ◽

pp. 1124

Author(s):

Leon Mishnaevsky Mishnaevsky

Keyword(s):

Wind Turbine ◽

End Of Life ◽

Wind Turbines ◽

Natural Fiber ◽

Turbine Blades ◽

Wind Turbine Blades ◽

Maintenance And Repair ◽

Life Management ◽

Large Wind

Various scenarios of end-of-life management of wind turbine blades are reviewed. “Reactive” strategies, designed to deal with already available, ageing turbines, installed in the 2000s, are discussed, among them, maintenance and repair, reuse, refurbishment and recycling. The main results and challenges of “pro-active strategies”, designed to ensure recyclability of new generations of wind turbines, are discussed. Among the main directions, the wind turbine blades with thermoplastic and recyclable thermoset composite matrices, as well as wood, bamboo and natural fiber-based composites were reviewed. It is argued that repair and reuse of wind turbine blades, and extension of the blade life has currently a number of advantages over other approaches. While new recyclable materials have been tested in laboratories, or in some cases on small or medium blades, there are remaining technological challenges for their utilization in large wind turbine blades.

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Monitoring the Wind Turbine Condition Using Big Data Technique

Asian Journal of Computer Science and Technology ◽

10.51983/ajcst-2019.8.s1.1941 ◽

2019 ◽

Vol 8 (S1) ◽

pp. 98-102

Author(s):

N. V. Poorima ◽

B. Srinivasan ◽

S. Karthikeyan

Keyword(s):

Big Data ◽

Wind Turbine ◽

Wind Turbines ◽

Wind Farms ◽

Observation System ◽

Operation And Maintenance ◽

Machine Deterioration

The desire to cut back the price of energy from turbine generation has seen a rise within the analysis applied to the sphere of turbine condition observation. Wind turbine condition observation has the potential to cut back operation and maintenance prices through optimized maintenance programming and also the rejection of major breakdowns. To aid this analysis, increasing volumes of knowledge are being captured and keep. These massive volumes of knowledge could also be deemed ‘Big Data’, and need improved handling techniques so as to figure with the information with efficiency. It introduces a turbine condition observation system that has been put in in AN operational Vestas V47 turbine for the aim of developing algorithms to sight machine deterioration. The system’s ability to capture massive volumes of knowledge (approx.2TB per month) has LED to the need of victimization increased knowledge handling techniques. This paper can discuss these ‘Big Data’ techniques and recommend however they will ultimately be used for condition observation of multiple wind turbines or wind farms.

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A Prognostics and Health Management Framework for Wind

Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy ◽

10.1115/gt2019-91533 ◽

2019 ◽

Author(s):

Shuangwen Sheng ◽

Yi Guo

Keyword(s):

Wind Turbine ◽

Wind Turbines ◽

Health Management ◽

Remaining Useful Life ◽

Rolling Contact ◽

Design Stage ◽

Series Data ◽

Prognostics And Health Management ◽

Wind Turbine Gearbox ◽

Operation And Maintenance

Abstract Operation and maintenance costs are a major driver for levelized cost of energy of wind power plants and can be reduced through optimized operation and maintenance practices accomplishable by various prognostics and health management (PHM) technologies. In recent years, the wind industry has become more open to adopting PHM solutions, especially those focusing on diagnostics. However, prognostics activities are, in general, still at the research and development stage. On the other hand, the industry has a request to estimate a component’s remaining useful life (RUL) when it has faulted, and this is a key output of prognostics. Systematically presenting PHM technologies to the wind industry by highlighting the RUL prediction need potentially helps speed up its acceptance and provides more benefits from PHM to the industry. In this paper, we introduce a PHM for wind framework. It highlights specifics unique to wind turbines and features integration of data and physics domain information and models. The output of the framework focuses on RUL prediction. To demonstrate its application, a data domain method for wind turbine gearbox fault diagnostics is presented. It uses supervisory control and data acquisition system time series data, normalizes gearbox temperature measurements with reference to environmental temperature and turbine power, and leverages big data analytics and machine-learning techniques to make the model scalable and the diagnostics process automatic. Another physics-domain modeling method for RUL prediction of wind turbine gearbox high-speed-stage bearings failed by axial cracks is also discussed. Bearing axial cracking has been shown to be the prevalent wind turbine gearbox failure mode experienced in the field and is different from rolling contact fatigue, which is targeted during the bearing design stage. The method uses probability of failure as a component reliability assessment and RUL prediction metric, which can be expanded to other drivetrain components or failure modes. The presented PHM for wind framework is generic and applicable to both land-based and offshore wind turbines.

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The advantage of modern progress on occupational safety and health with the help of online applications/platforms

MATEC Web of Conferences ◽

10.1051/matecconf/202235400011 ◽

2022 ◽

Vol 354 ◽

pp. 00011

Author(s):

Andrada Denisa Băbuț ◽

Cristian Raul Cioară ◽

Daniel Florea

Keyword(s):

Information And Communication Technologies ◽

Occupational Safety ◽

Health Sector ◽

Occupational Safety And Health ◽

Physical Contact ◽

Public Authorities ◽

Travel Costs ◽

Online Tools ◽

Safety And Health ◽

Information And Communication

The evolution of information and communication technologies has led to the development of an increasing number of interactive online tools, and the occupational safety and health sector is no stranger to this trend. In the context of the COVID-19 pandemic and the transfer of a very large percentage of activities online, the idea of this paper starts from the need to easily manage the documentation on safety and health at work, staff and work points, thus reducing time and eliminating travel costs and last but not least avoiding physical contact as much as possible, by implementing an application or a platform at institution level. These online tools are addressed to all employers, employees, workers and public authorities with responsibilities in the field of occupational safety and health. Although at present the specialists in the field of OSH face bureaucracy, being a rather complex field and at the same time so necessary in the practice of service activities, online training platforms or applications come to their aid to streamline the process of OSH training and testing of knowledge. Due to modern progress, training will be possible from any point of work, requiring only an internet connection.

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