Online fatigue detection of a SMA-based control valve using CUSUM algorithm

Author

Passaranon, Pisid ; Wongsa, Sarawan ; Koolpiruck, Diew ; Khantachawana, Anak

Author_Institution

King Mongkut´´s Univ. of Technol. Thonburi, Bangkok, Thailand

fYear

2011

fDate

17-19 May 2011

Firstpage

541

Lastpage

544

Abstract

This paper describes a functional fatigue detection system for nonlinear SMA-based control valve. Any drift from the normal behavior of the valve is revealed using a model-based residual generator by means of a nonlinear auto-regressive with exogenous input (NARX) model. Based on the optimisation property of cumulative sum (CUSUM), an online system for detecting changes in statistical properties of residuals due to fatigue of the valve is developed. The experimental results suggest that the variance of one step ahead (OSA) error and model predicted error (MPE) is a good indicator of fatigue states of the valve.

Keywords

autoregressive processes; fatigue; higher order statistics; nonlinear control systems; optimisation; shape memory effects; valves; CUSUM algorithm; NARX model; OSA error; cumulative sum; model predicted error; model-based residual generator; nonlinear SMA-based control valve; nonlinear autoregressive with exogenous input model; one step ahead error; online fatigue detection; optimisation; shape memory alloys; Fatigue;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2011 8th International Conference on

Conference_Location

Khon Kaen

Print_ISBN

978-1-4577-0425-3

Type

conf

DOI

10.1109/ECTICON.2011.5947895

Filename

5947895