Early Detection of Coil Failure in Solenoid Valves

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

This paper 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 (CUSUM) 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
JournalIEEE - ASME Transactions on Mechatronics
ISSN1083-4435
DOIs
Publication statusE-pub ahead of print - Jan 2020

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Solenoid valves
Solenoids
Extended Kalman filters
Thermal effects
Temperature
Flow of fluids
Fluids
Electric potential
Costs

Keywords

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

Cite this

@article{8b45cf4dbacd420da4168b9b48c22cf5,
title = "Early Detection of Coil Failure in Solenoid Valves",
abstract = "This paper 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 (CUSUM) 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.",
keywords = "Solenoid, Coil, Insulation Failure, Fault Detection and Diagnosis (FDD), Prognostics, Fluid power, Wind Turbine Pitch System",
author = "Jesper Liniger and S{\o}ren Stubkier and {N. Soltani}, Mohsen and Pedersen, {Henrik Clemmensen}",
year = "2020",
month = "1",
doi = "10.1109/TMECH.2020.2970231",
language = "English",
journal = "I E E E - A S M E Transactions on Mechatronics",
issn = "1083-4435",
publisher = "I E E E",

}

Early Detection of Coil Failure in Solenoid Valves. / Liniger, Jesper; Stubkier, Søren; N. Soltani, Mohsen; Pedersen, Henrik Clemmensen.

In: IEEE - ASME Transactions on Mechatronics, 01.2020.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Early Detection of Coil Failure in Solenoid Valves

AU - Liniger, Jesper

AU - Stubkier, Søren

AU - N. Soltani, Mohsen

AU - Pedersen, Henrik Clemmensen

PY - 2020/1

Y1 - 2020/1

N2 - This paper 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 (CUSUM) 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.

AB - This paper 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 (CUSUM) 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.

KW - Solenoid

KW - Coil

KW - Insulation Failure

KW - Fault Detection and Diagnosis (FDD)

KW - Prognostics

KW - Fluid power

KW - Wind Turbine Pitch System

U2 - 10.1109/TMECH.2020.2970231

DO - 10.1109/TMECH.2020.2970231

M3 - Journal article

JO - I E E E - A S M E Transactions on Mechatronics

JF - I E E E - A S M E Transactions on Mechatronics

SN - 1083-4435

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