Early Detection of Coil Failure in Solenoid Valves

Research output: Contribution to journalJournal articleResearchpeer-review

14 Citations (Scopus)

Abstract

This article describes the development and application of a model-based scheme for detecting the early signs of coil failure in solenoid valves. Contrary to other works, the proposed method simply isolates the fault-induced change in the coil resistance from thermal effects and provides a cost-effective solution with no comprehensive equipment demand. The model-based detection method employs a simple thermal model of the solenoid and an extended Kalman filter (EKF) for generating coil current residuals. The EKF utilizes measurements of coil voltage, coil current, ambient, and fluid temperature. The CUmulative SUM of the current residual is found to be sensitive to the early signs of coil failure. An experimental setup is utilized for evaluating the robustness of the detection method in the event of changing ambient temperature, convection, and fluid flow conditions. Results show that the method is able to detect the early signs of coil failure, and robust behavior and high detection probabilities are achieved for realistic fault sizes. The realistic fault sizes and the number of fault instances before failure are determined through extensive accelerated tests, where solenoids are operated at high temperature until failure.

Original languageEnglish
Article number8974206
JournalIEEE - ASME Transactions on Mechatronics
Volume25
Issue number2
Pages (from-to)683-693
Number of pages11
ISSN1083-4435
DOIs
Publication statusPublished - Apr 2020

Keywords

  • Solenoid
  • Coil
  • Insulation Failure
  • Fault Detection and Diagnosis (FDD)
  • Prognostics
  • Fluid power
  • Wind Turbine Pitch System

Fingerprint

Dive into the research topics of 'Early Detection of Coil Failure in Solenoid Valves'. Together they form a unique fingerprint.

Cite this