A fault detection and data reconciliation algorithm in technical processes with the help of haar wavelets packets

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A fault detection and data reconciliation algorithm in technical processes with the help of haar wavelets packets. / Mercorelli, Paolo.
In: Algorithms, Vol. 10, No. 1, 13, 03.2017, p. 1-13.

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@article{c94c1d260e874145ab0b9a8848ac9535,
title = "A fault detection and data reconciliation algorithm in technical processes with the help of haar wavelets packets",
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.",
keywords = "Engineering, Fault detection, Industry automation, Process control, Wavelets",
author = "Paolo Mercorelli",
year = "2017",
month = mar,
doi = "10.3390/a10010013",
language = "English",
volume = "10",
pages = "1--13",
journal = "Algorithms",
issn = "1999-4893",
publisher = "MDPI AG",
number = "1",

}

RIS

TY - JOUR

T1 - A fault detection and data reconciliation algorithm in technical processes with the help of haar wavelets packets

AU - Mercorelli, Paolo

PY - 2017/3

Y1 - 2017/3

N2 - 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.

AB - 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.

KW - Engineering

KW - Fault detection

KW - Industry automation

KW - Process control

KW - Wavelets

UR - http://www.scopus.com/inward/record.url?scp=85010612848&partnerID=8YFLogxK

U2 - 10.3390/a10010013

DO - 10.3390/a10010013

M3 - Journal articles

AN - SCOPUS:85010612848

VL - 10

SP - 1

EP - 13

JO - Algorithms

JF - Algorithms

SN - 1999-4893

IS - 1

M1 - 13

ER -

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