Lifetime prediction for organic coating under alternating hydrostatic pressure by artificial neural network.

Abstract:

:A concept for prediction of organic coatings, based on the alternating hydrostatic pressure (AHP) accelerated tests, has been presented. An AHP accelerated test with different pressure values has been employed to evaluate coating degradation. And a back-propagation artificial neural network (BP-ANN) has been established to predict the service property and the service lifetime of coatings. The pressure value (P), immersion time (t) and service property (impedance modulus |Z|) are utilized as the parameters of the network. The average accuracies of the predicted service property and immersion time by the established network are 98.6% and 84.8%, respectively. The combination of accelerated test and prediction method by BP-ANN is promising to evaluate and predict coating property used in deep sea.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Tian W,Meng F,Liu L,Li Y,Wang F

doi

10.1038/srep40827

subject

Has Abstract

pub_date

2017-01-17 00:00:00

pages

40827

issn

2045-2322

pii

srep40827

journal_volume

7

pub_type

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