DSSC seminar: Dr. Alessandro di Bucchianico (Eindhoven University of Technology)
| When: | Tu 05-07-2016 16:00 - 17:00 |
| Where: | 5161.0105 (Bernoulliborg) |
Video: https://streaming3.service.rug.nl/p2gplayer/Player.aspx?id=cv7HJv&segments=00:14:10-00:57:47
Speaker: Alessandro di Bucchianico (Eindhoven University of Technology)
Title: Developments in Monitoring Dynamic Data
Abstract:
Major technological advances in sensors and mobile devices have led to the availability of high volume – high frequency data originating from technical and social networks. These data offer opportunities to perform real-time monitoring with respect to both physical quantities and structural information. Different application areas for real-time monitoring include manufacturing processes, public health, finance, and telecommunication and communication networks.
Techniques for monitoring dynamic data (i.e., data changing over time) are known under different names depending on perspective or scientific community: statistical process control, surveillance, changepoint detection. Specific changes in such data are indicated with words such as anomalies, trends and drift.
In this talk I will first introduce the statistical concepts behind monitoring dynamic data. Then I will discuss which concepts and methodologies need to be adapted in the case of data streams that have higher levels of volume, high velocity and/or variety than the traditional levels for which these concepts and methodologies were developed.
I will illustrate some of the concepts with a maintenance case study on wind turbines performed within the Dutch national project DAISY4OFFSHORE.
Biography:
Alessandro Di Bucchianico is an Associate Professor of Statistics within the Department of Mathematics of Eindhoven University of Technology. Since 2007, he has been serving as Director of the Permanent Office of ENBIS, the European Network of Business and Industrial Statistics. In the years 2013 and 2014, he was quartermaster of the Data Science Center Eindhoven and programme manager of the Data Science Flagship, a strategic cooperation between the Data Science Center Eindhoven and Philips Research (currently 16 PhD students are involved in this flagship). From 1998 to 2008 he was one of the two coordinators of the Industrial Statistics programme at the postdoc research institute EURANDOM in Eindhoven. He was Deputy Head of LIME (Laboratory for Industrial Mathematics Eindhoven), a consultancy group within Eindhoven University of Technology, from 2007 to 2011.
His main research interests are statistical process control (monitoring data), reliability theory (lifetime data analysis) and maintenance. In particular, he likes to explore the relations between these topics and address the challenges and opportunities offered by the Big Data revolution. In the teaching of his data analysis courses he tries to emphasize the use of teaching software (see e.g. Statlab, reproducible research, and to link the scientific method with data analysis.