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Delegates are invited to meet and discuss with the poster presenters during the poster presentation sessions between 10:30-11:30 and 16:00-17:00 on Thursday, 19 November 2015.

Lead Session Chair:
Stephan Barth, ForWind - Center for Wind Energy Research, Germany
Hugo Andre MAIA EOLIS, France
Hugo ANDRE (1) F Thibault GOUACHE (2) Dimitri MOREAU (2) Josephine WOLFF (2) Virginie DELAVAUX (2) Nicolas GIRARD (1) Jose GOMEZ (1)
(1) MAIA EOLIS, Lille, France (2) CORNIS, Paris, France

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Presenter's biography

Biographies are supplied directly by presenters at EWEA 2015 and are published here unedited

​Mr. André has been working in the wind industry for almost 7 years. He is currently a R&D engineer for the wind turbine operator MAIA EOLIS. He studied Mechanical engineering at the University of Applied Science in Lyon and obtained a PhD diploma in mechanical engineering and signal processing thanks to his contribution to shaft line monitoring systems using instantaneous angular speed monitoring. His research is focused on the monitoring of mechanical systems and component of wind turbines.


Poster Download poster (13.76 MB)


Blade monitoring system field test, architecture feedback and operational results


Whether it be a tool used to detect blade faults, to prevent operation under hazardous icing conditions or to improve the control system of the wind turbine, the needs to equip blades with a monitoring system are clearly not overdone. Maia Eolis, an on-shore wind turbine operator owning, monitoring and maintaining more than 250MW, has been working for several years on a blade monitoring system which would answer to their various but precise expectations.


To reach this goal, Maia Eolis concluded a fruitful partnership with CORNIS, an engineering company specialised in data processing techniques and with a strong knowledge regarding blade ageing. The work achieved up to now has been focused on two main lines, which will draw the outline of this presentation. At first, the partners installed different system combinations on several 2MW turbines to determine the one with the best price quality ratio for such an application. Then, the system has been challenged to deal with several test cases that are known to be hardly dealt with otherwise.

Main body of abstract

First, every tested equipment will be presented and compared to explain the advantages and drawbacks of each solution. Strain sensors and accelerometers either linked through optical fibre or power lines have been tried during three years. The systems were all installed in retrofit. Thus the communication reliability and the hardware longevity have been subject to severe attention, and the relatively long experimentation duration allows the partners to evaluate precisely the time spent fixing hardware issues... This feedback is of peculiar value since it has neither been made by a sensor producer or an acquisition system designer and therefore benefits from reliable independence. This first part is concluded with the presentation of the complete hardware architecture finally chosen by the partners, as a compromise between indicators stability, system reliability and global costs.
Then, the attention is drawn upon the ability of such a system to tackle wind operator and maintainer needs. Icing event detection along with production optimization are analysed in this paper.
Although icing environmental conditions can be efficiently appraised on a wind turbine, it is different and still difficult to determine the actual presence of ice on the blade. Unfortunately, only the latter matters to the wind turbine operator. In this paper, the system will be shown on a real life case able to detect presence of ice on the blades of a turbine that could not be and was not warned with the classical frozen anemometer technic. This breakthrough result could only be obtained with a long period measurement campaign since its discovery is obviously dependant on capricious weather conditions.
On the other hand, the production optimization that can be achieved using the blade monitoring system is tested with manually simulated experiments, which have been realized by the operator, thanks to its experience of such faults on other machines of its wind park. Therefore, the actual observation made on other machines will be detailed for two fault modes: pitch and nacelle orientation deviation. The experimental protocol along with the obtained results will be presented for both cases.


The monitoring system presented in this paper is developed and presented as a solution optimized by and for the wind turbine operator, able to deal with major issues such as icing events undetected with classical means and fault modes inducing production losses.

Learning objectives
Comparison of different approaches for blade monitoring system
Presentation and analysis of fault modes observed by an operator
Understanding on how value can be added to a blade monitoring system