AW Europe, a new Factory of the Future in Wallonia

Jean-Claude Noben
Alain Jacques
May 6, 2019

Industrialisation and digitisation are not exclusive to major multinational firms. They are also within reach of small and medium-sized companies. AW Europe has just proved so, by obtaining one of the two Factory of the Future titles awarded for Wallonia in 2019.

The parable of the data scientists

Pascal Pollet
January 15, 2019

Long ago there were two kingdoms called Datamania and Scienzia that constantly competed with each other, not over power or wealth but over knowledge.

Exploit fleet of machines data to optimise its performance and maintenance

Alessandro Murgia
Caroline Mair
October 29, 2018

After two successful editions, a third edition of the ‘Fleet-based analytics for data-driven operation and maintenance optimisation’ seminar is organised on 13 December. The seminar focuses on the challenges of optimising the operation and maintenance of a fleet of machines by means of data-driven analytics and hybrid modelling strategies.

Bring your own data innovation challenge!

Caroline Mair
July 16, 2018

Data science can be very valuable to innovate within several domains, also for SMEs. The EluciDATA mastercourse provides pragmatic and industry-oriented sessions on data-driven innovation. During a special interactive, hands-on session on 18 September, participants will be guided in identifying the potential of solving a particular business challenge in a data-driven way and specifying the data innovation opportunities for their particular business context.

Understanding and characterising operational behaviour of a fleet of assets

Alessandro Murgia
Pieter Jan Jordaens
March 19, 2018

In cold climates, icing events and long periods with extreme low temperatures may impact the behaviour of standard wind turbines and this reverberates negatively on economics and safety of the wind farm. The behaviour of wind turbines operating in cold climates is studied at an international level by the IEA Wind TCP Task 19, a group of experts, of which Sirris is the representative member for Belgium.

How to choose the right algorithm for the right task?

Caroline Mair
March 13, 2018

Nowadays, a wide variety of algorithms is available in different data analytics libraries and toolkits. Therefore, when it comes to choosing an algorithm, the question is not whether an algorithm exists to solve your problem, but rather which one best fits the data science problem you are trying to solve. The next session of the EluciDATA mastercourse on 26 April will focus on choosing the right algorithm for the right task.

The challenges and opportunities of data sharing across complex industrial value chains

Caroline Mair
February 27, 2018

Next to enabling new data-driven business models, data allows one to acquire new insights to optimise production processes, predict machine failure, profile product usage or set up data-oriented start-ups. However, having access to data and/or collecting it might not always be trivial, and one of the main obstacles to further advance in regard to data-driven innovation remains data sharing. On 30 May Sirris is organising a seminar aiming at showing the potential of data sharing to enhance industrial innovation.

Methodology of asset usage profiling for proactive maintenance prediction

Andriy Zubaliy
January 9, 2018

When analysing sensor data, you are typically confronted with different challenges relating to data quality. Here, we show you how these challenges can be dealt with and how we derive some initial insight from cleaned data via exploration techniques such as clustering.

The potential of fleet based analytics for data-driven operation and maintenance optimisation

Mathias Verbeke
January 9, 2018

More and more companies are starting proactive or predictive maintenance projects and they are looking how to optimise their operations thanks to the enormous amount of data they collect. However, these companies mainly focus on the individual machine level, leaving a huge potential for fleet-based analytics untapped.

How to predict a smart audio device's battery life using data analytics

Mathias Verbeke
June 26, 2017

DEWI is a European research project which ended in February 2017 and has provided key solutions for seamless wireless connectivity and interoperability in smart cities and infrastructure by looking at members of the public's everyday physical environments in buildings, cars, trains, and planes. In this way, DEWI has provided significant input for the emergence of smart homes and smart public spaces.

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