Publication

Correlation between quench pressure and normal zone voltage observed in the QUELL experiment

2000
Journal Articles

Abstract

An interesting correlation between the quench pressure and the generated power was observed in the quench runs of the QUELL experiment. The experimental results indicate that the instantaneous values of the quench pressure and power generated by the normal zone are linearly correlated during the quench propagation. For quenches with constant operating current, the linear correlation holds for quench pressure and the normal zone resistance or voltage. This correlation can be used to improve the accuracy of the quench detection systems based on voltage taps. It could be also a useful tool for the validation of numerical codes for quench propagation. (C) 2001 Elsevier Science Ltd. All rights reserved.

Official source

https://infoscience.epfl.ch/entities/publication/658285e7-5a50-4311-8467-8888cabfaf2a

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2000
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/658285e7-5a50-4311-8467-8888cabfaf2a

About this result

Related concepts (32)

Correlation

In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the broadest sense, "correlation" may indicate any type of association, in statistics it usually refers to the degree to which a pair of variables are linearly related. Familiar examples of dependent phenomena include the correlation between the height of parents and their offspring, and the correlation between the price of a good and the quantity the consumers are willing to purchase, as it is depicted in the so-called demand curve.

Pearson correlation coefficient

In statistics, the Pearson correlation coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such that the result always has a value between −1 and 1. As with covariance itself, the measure can only reflect a linear correlation of variables, and ignores many other types of relationships or correlations.

Linear regression

In statistics, linear regression is a linear approach for modelling the relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables). The case of one explanatory variable is called simple linear regression; for more than one, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.

Related publications (32)

Correlation between quench pressure and normal zone voltage observed in the QUELL experiment

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