Degradation process and failure estimation of drilling system based on real data and diffusion process supported by state space models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F20%3A43918053" target="_blank" >RIV/62156489:43110/20:43918053 - isvavai.cz</a>

Alternative codes found

RIV/60162694:G43__/20:00555846

Result on the web

<a href="https://doi.org/10.1016/j.measurement.2020.108076" target="_blank" >https://doi.org/10.1016/j.measurement.2020.108076</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.measurement.2020.108076" target="_blank" >10.1016/j.measurement.2020.108076</a>

Result language

angličtina

Original language name

Degradation process and failure estimation of drilling system based on real data and diffusion process supported by state space models

Original language description

Technical systems used in adverse environments are subject to very intense degradation and their parts deterioration. Due to the problematic placement of some parts, it is sometimes very difficult, to indicate the level of degradation and possible failure occurrence. Therefore, it is very useful to work with the available field operation data. Since we possess such data and apply progressive methods to model the degradation, we are able to predict the possible failure occurrence and forecast residual useful life. At first, we apply spectral analysis approaches. The spectral analysis is used to capture extreme values in the data structure. The extreme values are later filtered out to avoid future estimations which might be affected by the deformed inputs. In the next step, we use non-parametric smoothing and state space models to acquire trend, variance and related statistics in the data structure. These characteristics are later used as input parameters for specific and new forms of diffusion processes. With these diffusion processes we would like to model the degradation evolvement and failure occurrence. The failure occurrence is represented as one of the statistics of the first passage time (FPT). FPT is a moment when the modelled trajectory hits the predefined threshold - such threshold represents a critical limit for our observation. The outcomes are useful for (i) degradation modelling, deterioration prediction and condition assessment, (ii) operation and maintenance planning and rationalisation, and (iii) life cycle cost optimisation and safety improvement.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50202 - Applied Economics, Econometrics

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Measurement

ISSN

0263-2241

e-ISSN

—

Volume of the periodical

164

Issue of the periodical within the volume

November

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

108076

UT code for WoS article

000548651300015

EID of the result in the Scopus database

2-s2.0-85086572251