Application of condition monitoring to an electromechanical actuator: a parameter estimation based approach

Roger Dixon, Andrew Pike

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

As part of a recent R&D programme, a model-based monitoring technique for an electromechanical actuator has been the developed and validated on a laboratory scale plant. Estimates of the key physical parameters of the electromechanical positioning system are calculated from a transfer function model of the system, which is obtained using system identification techniques. The estimates are then assessed against baseline parameters and trended historically for monitoring purposes. In addition, a fuzzy-logic based significant change detector and fault classifier is applied to the estimates. The experimental results highlight the considerable potential of the applied techniques for achieving improved condition monitoring of actuation systems.
Original languageEnglish
Pages (from-to)71-81
Number of pages11
JournalComputing and Control Engineering Journal
Volume13
Issue number2
DOIs
Publication statusPublished - 1 Apr 2002

Fingerprint

Electromechanical actuators
Condition monitoring
Parameter estimation
Monitoring
Fuzzy logic
Transfer functions
Identification (control systems)
Classifiers
Detectors

Keywords

  • fuzzy logic
  • position control
  • electric actuators
  • condition monitoring
  • parameter estimation
  • fault diagnosis

Cite this

Application of condition monitoring to an electromechanical actuator : a parameter estimation based approach. / Dixon, Roger; Pike, Andrew.

In: Computing and Control Engineering Journal, Vol. 13, No. 2, 01.04.2002, p. 71-81.

Research output: Contribution to journalArticle

@article{f6f8fa00202648b3896e5048aec3f0a5,
title = "Application of condition monitoring to an electromechanical actuator: a parameter estimation based approach",
abstract = "As part of a recent R&D programme, a model-based monitoring technique for an electromechanical actuator has been the developed and validated on a laboratory scale plant. Estimates of the key physical parameters of the electromechanical positioning system are calculated from a transfer function model of the system, which is obtained using system identification techniques. The estimates are then assessed against baseline parameters and trended historically for monitoring purposes. In addition, a fuzzy-logic based significant change detector and fault classifier is applied to the estimates. The experimental results highlight the considerable potential of the applied techniques for achieving improved condition monitoring of actuation systems.",
keywords = "fuzzy logic, position control, electric actuators, condition monitoring, parameter estimation, fault diagnosis",
author = "Roger Dixon and Andrew Pike",
year = "2002",
month = "4",
day = "1",
doi = "10.1049/cce:20020203",
language = "English",
volume = "13",
pages = "71--81",
journal = "Computing and Control Engineering Journal",
issn = "0956-3385",
publisher = "Institution of Engineering and Technology",
number = "2",

}

TY - JOUR

T1 - Application of condition monitoring to an electromechanical actuator

T2 - a parameter estimation based approach

AU - Dixon, Roger

AU - Pike, Andrew

PY - 2002/4/1

Y1 - 2002/4/1

N2 - As part of a recent R&D programme, a model-based monitoring technique for an electromechanical actuator has been the developed and validated on a laboratory scale plant. Estimates of the key physical parameters of the electromechanical positioning system are calculated from a transfer function model of the system, which is obtained using system identification techniques. The estimates are then assessed against baseline parameters and trended historically for monitoring purposes. In addition, a fuzzy-logic based significant change detector and fault classifier is applied to the estimates. The experimental results highlight the considerable potential of the applied techniques for achieving improved condition monitoring of actuation systems.

AB - As part of a recent R&D programme, a model-based monitoring technique for an electromechanical actuator has been the developed and validated on a laboratory scale plant. Estimates of the key physical parameters of the electromechanical positioning system are calculated from a transfer function model of the system, which is obtained using system identification techniques. The estimates are then assessed against baseline parameters and trended historically for monitoring purposes. In addition, a fuzzy-logic based significant change detector and fault classifier is applied to the estimates. The experimental results highlight the considerable potential of the applied techniques for achieving improved condition monitoring of actuation systems.

KW - fuzzy logic

KW - position control

KW - electric actuators

KW - condition monitoring

KW - parameter estimation

KW - fault diagnosis

U2 - 10.1049/cce:20020203

DO - 10.1049/cce:20020203

M3 - Article

VL - 13

SP - 71

EP - 81

JO - Computing and Control Engineering Journal

JF - Computing and Control Engineering Journal

SN - 0956-3385

IS - 2

ER -