The development of an adaptive threshold for model-based fault detection of a nonlinear electro-hydraulic system

Z. Shi, F. Gu, B. Lennox, A. D. Ball

Research output: Contribution to journalArticle

77 Citations (Scopus)

Abstract

This paper presents a practical approach to combine model-based fault detection with an adaptive threshold. The suitability of the proposed technique is illustrated through its application to the condition monitoring of a nonlinear electro-hydraulic plant. The paper begins by outlining the difficulties associated with modelling the plant and the steps taken to identify the uncertain factors that influence the accuracy of the resulting model. A linearised model is applied in this study. The reason for this is because of the availability of many well-developed model-based approaches and model parameter estimation techniques for linear systems. The errors due to the linearisation and stochastic factors are studied both experimentally and theoretically and are compensated for by using an adaptive threshold. The combined linearised model-based approach and adaptive threshold is not only easy for on-line implementation but also takes into account the unknown influences such as model errors, measurement noise, temperature fluctuation and hence leads to a reliable fault detection scheme. The performance of the proposed fault detection scheme is demonstrated in detecting several different fault types associated with the control components, actuator and sensor.

LanguageEnglish
Pages1357-1367
Number of pages11
JournalControl Engineering Practice
Volume13
Issue number11
Early online date17 Feb 2005
DOIs
Publication statusPublished - 1 Nov 2005
Externally publishedYes

Fingerprint

Adaptive Threshold
Hydraulic System
Fault Detection
Fault detection
Hydraulics
Model-based
Measurement Error Model
Condition Monitoring
Linearization
Parameter Estimation
Actuator
Fault
Availability
Linear Systems
Model
Fluctuations
Unknown
Sensor
Modeling
Condition monitoring

Cite this

@article{181684c14ce74e3cab1aaee7c1f202c2,
title = "The development of an adaptive threshold for model-based fault detection of a nonlinear electro-hydraulic system",
abstract = "This paper presents a practical approach to combine model-based fault detection with an adaptive threshold. The suitability of the proposed technique is illustrated through its application to the condition monitoring of a nonlinear electro-hydraulic plant. The paper begins by outlining the difficulties associated with modelling the plant and the steps taken to identify the uncertain factors that influence the accuracy of the resulting model. A linearised model is applied in this study. The reason for this is because of the availability of many well-developed model-based approaches and model parameter estimation techniques for linear systems. The errors due to the linearisation and stochastic factors are studied both experimentally and theoretically and are compensated for by using an adaptive threshold. The combined linearised model-based approach and adaptive threshold is not only easy for on-line implementation but also takes into account the unknown influences such as model errors, measurement noise, temperature fluctuation and hence leads to a reliable fault detection scheme. The performance of the proposed fault detection scheme is demonstrated in detecting several different fault types associated with the control components, actuator and sensor.",
keywords = "Adaptive threshold, Electro-hydraulic system, Fault detection, Model-based, Non-stationary process, Residual analysis",
author = "Z. Shi and F. Gu and B. Lennox and Ball, {A. D.}",
year = "2005",
month = "11",
day = "1",
doi = "10.1016/j.conengprac.2004.11.014",
language = "English",
volume = "13",
pages = "1357--1367",
journal = "Control Engineering Practice",
issn = "0967-0661",
publisher = "Elsevier Limited",
number = "11",

}

The development of an adaptive threshold for model-based fault detection of a nonlinear electro-hydraulic system. / Shi, Z.; Gu, F.; Lennox, B.; Ball, A. D.

In: Control Engineering Practice, Vol. 13, No. 11, 01.11.2005, p. 1357-1367.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The development of an adaptive threshold for model-based fault detection of a nonlinear electro-hydraulic system

AU - Shi, Z.

AU - Gu, F.

AU - Lennox, B.

AU - Ball, A. D.

PY - 2005/11/1

Y1 - 2005/11/1

N2 - This paper presents a practical approach to combine model-based fault detection with an adaptive threshold. The suitability of the proposed technique is illustrated through its application to the condition monitoring of a nonlinear electro-hydraulic plant. The paper begins by outlining the difficulties associated with modelling the plant and the steps taken to identify the uncertain factors that influence the accuracy of the resulting model. A linearised model is applied in this study. The reason for this is because of the availability of many well-developed model-based approaches and model parameter estimation techniques for linear systems. The errors due to the linearisation and stochastic factors are studied both experimentally and theoretically and are compensated for by using an adaptive threshold. The combined linearised model-based approach and adaptive threshold is not only easy for on-line implementation but also takes into account the unknown influences such as model errors, measurement noise, temperature fluctuation and hence leads to a reliable fault detection scheme. The performance of the proposed fault detection scheme is demonstrated in detecting several different fault types associated with the control components, actuator and sensor.

AB - This paper presents a practical approach to combine model-based fault detection with an adaptive threshold. The suitability of the proposed technique is illustrated through its application to the condition monitoring of a nonlinear electro-hydraulic plant. The paper begins by outlining the difficulties associated with modelling the plant and the steps taken to identify the uncertain factors that influence the accuracy of the resulting model. A linearised model is applied in this study. The reason for this is because of the availability of many well-developed model-based approaches and model parameter estimation techniques for linear systems. The errors due to the linearisation and stochastic factors are studied both experimentally and theoretically and are compensated for by using an adaptive threshold. The combined linearised model-based approach and adaptive threshold is not only easy for on-line implementation but also takes into account the unknown influences such as model errors, measurement noise, temperature fluctuation and hence leads to a reliable fault detection scheme. The performance of the proposed fault detection scheme is demonstrated in detecting several different fault types associated with the control components, actuator and sensor.

KW - Adaptive threshold

KW - Electro-hydraulic system

KW - Fault detection

KW - Model-based

KW - Non-stationary process

KW - Residual analysis

UR - http://www.scopus.com/inward/record.url?scp=21844437835&partnerID=8YFLogxK

U2 - 10.1016/j.conengprac.2004.11.014

DO - 10.1016/j.conengprac.2004.11.014

M3 - Article

VL - 13

SP - 1357

EP - 1367

JO - Control Engineering Practice

T2 - Control Engineering Practice

JF - Control Engineering Practice

SN - 0967-0661

IS - 11

ER -