Platinum thermometer failure estimation based on dynamic linear models. (July 2019)

• Record Type: Journal Article
• Authors: Vališ, David; Forbelská, Marie; Vintr, Zdeněk; Hasilová, Kamila; Leuchter, Jan
• Is Part Of: Engineering failure analysis. Volume 101(2019)
• Page Start: 418
• Page End: 435
• Publication Date: 2019-07
• Subjects: Accelerated reliability test -- Dynamic linear models -- Failure occurrence estimation -- Platinum thermometer degradation; System failures (Engineering) -- Periodicals; Fracture mechanics -- Periodicals; Reliability (Engineering) -- Periodicals; Pannes -- Périodiques; Rupture, Mécanique de la -- Périodiques; Fiabilité -- Périodiques; Fracture mechanics; Reliability (Engineering); System failures (Engineering); Periodicals; Electronic journals; 620.112
• DOI: 10.1016/j.engfailanal.2019.03.024
• Languages: English
• ISSNs: 1350-6307

Abstract

Abstract: The observation of a technical system condition is closely related to the estimation of its reliability. Theoretical analyses are very often not sufficient, and due to time pressure we are usually made to use accelerated reliability tests. In our article we present the results of an accelerated reliability test performed by the platinum thermal sensor Pt-100. Within the scope of the accelerated test we tested the equivalent of ten-year system operation using the Pt-100. Due to the length and the specific format of the test it was possible to record several failures occurring in the set of the observed/tested Pt-100 sensors. The recorded test results were further analysed and processed applying a time-series analysis. We apply modern and nontrivial dynamic linear models (DLM) based on back propagation recursors. The achieved results using the test and data analysis have not been known yet for the Pt-100 type.