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

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Author list: Passaranon P., Wongsa S., Koolpiruck D., Khantachawana A.

Publisher: Hindawi

Publication year: 2011

Start page: 541

End page: 544

Number of pages: 4

ISBN: 9781457704246

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961243243&doi=10.1109%2fECTICON.2011.5947895&partnerID=40&md5=37123606d591d57af4113718d606d94d

Languages: English-Great Britain (EN-GB)

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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. ฉ 2011 IEEE.

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