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Using haar wavelets for fault detection in technical processes

Research output: Journal contributions › Conference article in journal › Research › peer-review

Authors

This paper deals with Gross Error Detection using a signal-based approach and proposes an algorithm to be applied in industrial processes. The developed algorithm is used in some industrial software platforms to detect sensor outliers. A validation of this algorithm through computer simulations is shown. Results using real sensor measurements from industrial processes are reported at the end of the paper.

Original languageEnglish
JournalIFAC-PapersOnLine
Volume48
Issue number4
Pages (from-to)37-42
Number of pages6
ISSN2405-8971
DOIs
Publication statusPublished - 01.06.2015
Event13th IFAC and IEEE Conference on Programmable Devices and Embedded Systems - PDES 2015 - Silesian University of Technology, Krakau, Poland
Duration: 13.05.2015 → 15.05.2015
Conference number: 13
http://pdes.polsl.pl/
https://www.ifac-control.org/events/programmable-devices-and-embedded-systems-13th-pdes-2015

    Research areas

  • Engineering - Algorithms, Embedded systems, Process control, Gross error detection, Haar wavelets, Industrial processs, Industrial software, Sensor measurements, Technical process

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