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Journal Articles International Journal of Reliability, Quality and Safety Engineering Year : 2013

FAILURE PROGNOSTICS BY A DATA-DRIVEN SIMILARITY-BASED APPROACH

Abstract

This paper presents a data-driven, similarity-based approach for prognostics of industrial and structural components. The potentiality of the approach is demonstrated on a problem of crack propagation, taken from literature. The crack growth process is described by a non linear model affected by non-additive noises. A comparison is provided with a Monte Carlo-based estimation method, known as particle filtering.
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Dates and versions

hal-00926377 , version 1 (09-01-2014)

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Enrico Zio, F. Di Maio. FAILURE PROGNOSTICS BY A DATA-DRIVEN SIMILARITY-BASED APPROACH. International Journal of Reliability, Quality and Safety Engineering, 2013, 20, pp.1350001. ⟨10.1142/S0218539313500010⟩. ⟨hal-00926377⟩
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