Petra Perne
Institute of Computer Vision and applied Computer Sciences,Germany
Title: Maintenance of Engineering Systems by Big Data
Biography
Biography: Petra Perne
Abstract
The ubiquitous availablity of high quality data European industry gathers, allows to optimize manafacturing processes even more and to stay competititve. However, while the data are rich enough to include those elements needed for optimization, the even encreasing volume, veloctiy and variety of the data make mining it effectively increasingly difficult. The paper addresses the special challenges in developing scalable algorithm and infrastructures for creating responsive analytical capabilities that produce timely prediction and monitoring alerts in industrial environments. We will describe a platform that can handle the special needs of the data and has a reach enough tool of data mining techniques. Case-Based Reasoning is used to combine streaminig data of different types ( sensor data, time series, maintenance logs etc.) as well. Special time series algorithm will be developed allowing the efficient analyisis of the machine data. It will be deploded and validated in three industrial cases where data-driven maintenances is expected is expected to have a significant impact: high-tech medical equipment, high-tech manufacturing of hard disks and structural health monitoring.
