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.
| Original language | English |
|---|---|
| Article number | 13 |
| Journal | Algorithms |
| Volume | 10 |
| Issue number | 1 |
| Pages (from-to) | 1-13 |
| Number of pages | 13 |
| DOIs | |
| Publication status | Published - 03.2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research areas and keywords
- Engineering
- Fault detection
- Industry automation
- Process control
- Wavelets
ASJC Scopus Subject Areas
- Numerical Analysis
- Computational Theory and Mathematics
- Theoretical Computer Science
- Computational Mathematics
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