A method for detecting non-stationary oscillations in process plants

Vesa-Matti Tikkala; Alexey Zakharov; Sirkka-Liisa Jamsa-Jounela

doi:10.1016/j.conengprac.2014.07.008

A method for detecting non-stationary oscillations in process plants

Vesa-Matti Tikkala
, Alexey Zakharov
, Sirkka-Liisa Jamsa-Jounela

Kemian tekniikan ja metallurgian laitos

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

12 Sitaatiot (Scopus)

193 Lataukset (Pure)

Abstrakti

This paper proposes a method for detecting oscillations in non-stationary time
series based on the statistical properties of zero-crossings. The main development presented is a technique to remove non-stationary trend component from the analysed signals before applying an oscillation detection procedure. First, the method extracts the signal's baseline that is utilized
to stationarize the signal. Then, an index describing the regularity of the stationarized signal's zero-crossings is computed in order to determine the presence of oscillation. The properties and performance of the method are analysed in simulation studies. Furthermore, the method is comprehensively tested with industrial data in a comparative study in which the proposed
method is tested against other oscillation detection methods using industrial benchmark data and in tests on paperboard machine process . Finally, the simulation and industrial results are analysed and discussed.

Alkuperäiskieli	Englanti
Sivut	1-8
Julkaisu	Control Engineering Practice
Vuosikerta	32
Numero	1
DOI - pysyväislinkit	https://doi.org/10.1016/j.conengprac.2014.07.008
Tila	Julkaistu - 2014
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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10.1016/j.conengprac.2014.07.008

a method for detecting non-stationary oscillations in process plantsAccepted author manuscript, 2,11 MB

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abstract = "This paper proposes a method for detecting oscillations in non-stationary time series based on the statistical properties of zero-crossings. The main development presented is a technique to remove non-stationary trend component from the analysed signals before applying an oscillation detection procedure. First, the method extracts the signal's baseline that is utilized to stationarize the signal. Then, an index describing the regularity of the stationarized signal's zero-crossings is computed in order to determine the presence of oscillation. The properties and performance of the method are analysed in simulation studies. Furthermore, the method is comprehensively tested with industrial data in a comparative study in which the proposed method is tested against other oscillation detection methods using industrial benchmark data and in tests on paperboard machine process . Finally, the simulation and industrial results are analysed and discussed.",

keywords = "fault detection, oscillation, diagnosis, industrial application",

author = "Vesa-Matti Tikkala and Alexey Zakharov and Sirkka-Liisa Jamsa-Jounela",

year = "2014",

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T1 - A method for detecting non-stationary oscillations in process plants

AU - Tikkala, Vesa-Matti

AU - Zakharov, Alexey

AU - Jamsa-Jounela, Sirkka-Liisa

PY - 2014

Y1 - 2014

N2 - This paper proposes a method for detecting oscillations in non-stationary time series based on the statistical properties of zero-crossings. The main development presented is a technique to remove non-stationary trend component from the analysed signals before applying an oscillation detection procedure. First, the method extracts the signal's baseline that is utilized to stationarize the signal. Then, an index describing the regularity of the stationarized signal's zero-crossings is computed in order to determine the presence of oscillation. The properties and performance of the method are analysed in simulation studies. Furthermore, the method is comprehensively tested with industrial data in a comparative study in which the proposed method is tested against other oscillation detection methods using industrial benchmark data and in tests on paperboard machine process . Finally, the simulation and industrial results are analysed and discussed.

AB - This paper proposes a method for detecting oscillations in non-stationary time series based on the statistical properties of zero-crossings. The main development presented is a technique to remove non-stationary trend component from the analysed signals before applying an oscillation detection procedure. First, the method extracts the signal's baseline that is utilized to stationarize the signal. Then, an index describing the regularity of the stationarized signal's zero-crossings is computed in order to determine the presence of oscillation. The properties and performance of the method are analysed in simulation studies. Furthermore, the method is comprehensively tested with industrial data in a comparative study in which the proposed method is tested against other oscillation detection methods using industrial benchmark data and in tests on paperboard machine process . Finally, the simulation and industrial results are analysed and discussed.

KW - fault detection

KW - oscillation

KW - diagnosis

KW - industrial application

U2 - 10.1016/j.conengprac.2014.07.008

DO - 10.1016/j.conengprac.2014.07.008

M3 - Article

SN - 0967-0661

VL - 32

SP - 1

EP - 8

JO - Control Engineering Practice

JF - Control Engineering Practice

IS - 1

ER -

A method for detecting non-stationary oscillations in process plants

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