Detecting aging of process sensors with noise signal measurement

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • Teollisuuden Voima
  • Aalto University

Kuvaus

In this paper, methods for detecting failures in process sensors from the noise measurement due to aging issues are examined. The data are acquired from the water level and pressure measurement transmitters in the Olkiluoto nuclear power plant in Finland: units Olkiluoto 1 and Olkiluoto 2. Methods found from the literature about the failure indicators are presented. Changes in the sensor response time as well as in the resonance peaks in the signal are identified from the power spectrum of the signal. In addition, a new method for fingerprinting the sensors using the Principal Component Analysis (PCA) of the signal spectra is presented. By following the changes in these fingerprints and the variations between parallel measurements of the redundant sensors, symptoms of sensor failures can be detected. In the experiments we were able to produce stable fingerprints for the differential pressure transmitters used in the water level measurement. Potential failure in one differential pressure sensor in unit Olkiluoto 2 is found with the fingerprint method and by analyzing the changes in the spectrum.

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
TilaJulkaistu - 1 syyskuuta 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications - Bucharest, Romania
Kesto: 21 syyskuuta 201723 tammikuuta 2018
Konferenssinumero: 9

Conference

ConferenceIEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications
MaaRomania
KaupunkiBucharest
Ajanjakso21/09/201723/01/2018

ID: 16822477