Together with imec and the DTAI research group of KU Leuven, the Sirris EluciDATA Lab will be hosting a special session on 'Fleet-based Prognostics and Health Management of Industrial Assets' at the Fifth European Conference of the Prognostics and Health Management Society 2020 in Turin on 1-3 July. Are you involved in research related to this topic? Submit your abstract by 31 January!

With sensors becoming rapidly cheaper, manufacturing companies are expecting their massive sensor deployment to support vital services, such as predictive maintenance, automated supply chain management, operations & usage monitoring. However, billions of connected IoT devices, generating monumental amounts of data do not necessary result in smart systems or products. They do have a direct impact on cost. The InsightProducts project supports companies to improve their product and service offering through a cost-effective approach to relevant and qualitative product data acquisition and use in view of digital servitisation.

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.

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

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.

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.

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.

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.

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.

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.