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

Research output: Contribution to journalArticleScientificpeer-review

Researchers

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

Research units

  • Institute for Energy Technology IFE
  • Teollisuuden Voima

Abstract

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.

Details

Original languageEnglish
Pages (from-to)135-146
Number of pages12
JournalGSTF INTERNATIONAL JOURNAL ON COMPUTING
Volume18
Issue number2
Publication statusPublished - 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • aging, failure prediction, data analysis, noise analysis, nuclear power plant, pressure sensors, principal component analysis, process sensors, spectral analysis.

ID: 35896882