METHOD FOR DETECTING AGING RELATED FAILURES OF PROCESS SENSORS VIA NOISE SIGNAL MEASUREMENT

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

Tutkijat

  • Topi Toosi
  • Miki Sirola
  • Jarkko Laukkanen
  • Mark van Heeswijk
  • Juha Karhunen

Organisaatiot

  • Institute for Energy Technology IFE
  • Teollisuuden Voima

Kuvaus

In this article we examine the methods for detecting and predicting aging related process sensor failures by analyzing the noise of the sensor output signal. The study uses data from non-differential and differential pressure transmitters used in the pressure and water level measurements of the reactor pressure vessels of units 1 and 2 of the Olkiluoto nuclear power plant in Finland. The article contains a review of the current methods for detection of sensor failures. Additionally, we present a new method for detecting changes in the sensor output signal. The method creates fingerprints of the power spectra of the sensors by using Principal Component Analysis (PCA). The changes in these fingerprints together with the measurements of the redundant sensors can be used to detect indications of some of the impending sensor failures. In the experimental study we are able to produce stable fingerprints for both the non-differential and differential pressure transmitters. Also, a potential failure in one of the differential pressure transmitters in Olkiluoto unit 2 is detected by inspecting the fingerprints and analyzing the spectral changes of the transmitter output signal.

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut135-146
Sivumäärä12
JulkaisuGSTF INTERNATIONAL JOURNAL ON COMPUTING
Vuosikerta18
Numero2
TilaJulkaistu - 2019
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

ID: 35896882