Ein ansatz zur automatischen Umwandlung von Rohdaten in Regeln: Teil 1: Prozeßtrends, wavelettransformation und klassifizierungsbäume

Translated title of the contribution: A method for an automated rule extraction from raw process data Part 1: Process trends, wavelet transformation and decision trees

Georg Locher, Bhavik Bakshi, George Stephanopoulos, Gregory Stephanopoulos, Karl Schügerl

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The increasing amount of data which is measured in processes of many different branches is often not sufficiently exploited. Moreover, the increasing abilities concerning data collection are often not met by appropriate capabilities of making use thereof. Consequently, more emphasis should be put on the development of evaluation techniques, which allow to convert raw data into more meaningful information. In this article, a concept is introduced which automatically extracts regularities of a process series that indicate an unsuccessful outcome. These regularities are expressed in rules such as those used in expert systems.

Translated title of the contributionA method for an automated rule extraction from raw process data Part 1: Process trends, wavelet transformation and decision trees
Original languageGerman
Pages (from-to)61-70
Number of pages10
JournalAt-Automatisierungstechnik
Volume44
Issue number2
DOIs
StatePublished - Feb 1996
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A method for an automated rule extraction from raw process data Part 1: Process trends, wavelet transformation and decision trees'. Together they form a unique fingerprint.

Cite this