Journal
MATHEMATICS
Volume 11, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/math11122707
Keywords
resilience; entropy; negentropy; engineered systems; moments statistics
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Resilience is a crucial quality in systems, allowing them to deal with disruptive events. However, measuring and quantifying resilience remains a challenge. This study explores the use of moment statistics and negentropy as potential indicators of resilience for engineering systems and production lines.
Resilience is an essential quality of systems. This characteristic is based on the ability of a system to cope with disruptive events. To prevent decreases in system functionality and performance and to respond promptly to unexpected situations or shocks, systems must possess this capacity. One challenge lies in identifying and measuring resilience. Recently, various metrics have been proposed in the literature to represent the resilience of systems. Despite this, there is still no global resilience measure that can be used in any type of industrial system. This work investigated a series of moment statistics and explored the field of entropy in the search for a general resilience indicator. A set of 27 hypothetical cases were proposed to calculate the indices under evaluation. Then, a series of comparisons were made between these indices and two resilience indicators found in the literature. The main results of this work lead to the overall conclusion that it is possible to use some of these indicators as potential resilience indicators for engineering systems and production lines. Specifically, negentropy appears to be a good option for this purpose.
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