Title :
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
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;
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
DOI :
10.1109/ECTICON.2011.5947895
