Analysis of the Relationship Between Process and Vibex Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00227964" target="_blank" >RIV/68407700:21230/14:00227964 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of the Relationship Between Process and Vibex Data
Original language description
We explored how vibrations (recorded in the VIBEX dataset) are related to values of standard process variables, and particularly whether some of the vibration variables can be predicted from the process variables. We _rst looked at the global relationships between the two categories, by analysing the dependencies between the principal components of the two data families. This analysis shows a visual pattern indicating there is a non-random association between the two. Then we tried to learn a predictivemodel for each individual VIBEX variable, in which the inputs are formed by the process variables. Some of the vibration variables proved predictable as demonstrated by the values of the correlation coe_cient which measures the statistical agreement between the prediction and the actual value. The correlation coe_cient values estimated on independent test sets were often over 0.5 (a correlation ce_cient ranges from -1 to 1, where any positive number indicates a correlation).
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7E13027" target="_blank" >7E13027: SUstainable PREdictive Maintenance for manufacturing Equipment</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů