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Algorithms 2017, 10(1), 13; doi:10.3390/a10010013

A Fault Detection and Data Reconciliation Algorithm in Technical Processes with the Help of Haar Wavelets Packets

Institute of Product and Process Innovation, Leuphana University of Lueneburg, Volgershall 1, D-21339 Lueneburg, Germany
This paper is an extended version of the same author’s paper published in the 2nd International Conference on Advances in Intelligent Systems, Jakarta, Indonesia, 27–28 September 2014.
Academic Editor: Sergio Rajsbaum
Received: 30 September 2016 / Revised: 17 December 2016 / Accepted: 7 January 2017 / Published: 14 January 2017
View Full-Text   |   Download PDF [1878 KB, uploaded 14 January 2017]   |  

Abstract

This article is focused on the detection of errors using an approach that is signal based. The proposed algorithm considers several criteria: soft, hard and very hard recognition error. After the recognition of the error, the error is replaced. In this sense, different strategies for data reconciliation are associated with the proposed criteria error detection. Algorithms in several industrial software platforms are used for detecting errors of sensors. Computer simulations confirm the validation of the presented applications. Results with actual sensor measurements in industrial processes are presented. View Full-Text
Keywords: fault detection; wavelets; process control; industry automation fault detection; wavelets; process control; industry automation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Mercorelli, P. A Fault Detection and Data Reconciliation Algorithm in Technical Processes with the Help of Haar Wavelets Packets. Algorithms 2017, 10, 13.

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