Applying Autonomous Methods for Signal Analysis and Correction with Applications in the ship Industry

Sammanfattning: The manufacturing and transportation industries generate a large amount of data sets which are often of inconsistent quality. The goal of this project is to find the mathematical principles of a system which learns automatically the essential statistical and analytical properties of datasets in order to detect and correct certain classes of faults in real time.