The correlation analysis of discrete variables and continuous variables based on Mutual Information

Lin Huo, Chuan Lv, Simiao Fei, Dong Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

As most Mutual Information method is limited to the correlation analysis between discrete variables in majority and tendency of choosing the characteristic variables with multi-values so far, in this paper we propose a new approach based on Mutual Information to measure the correlation of discrete variables and continuous variables. Then we take the fire control system of aircraft for example to calculate the correlation between fault types and monitor data indexes, and finally find the fault symptom classes.

Original languageEnglish
Title of host publicationFrontiers of Manufacturing and Design Science II
Pages4203-4207
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
Event2nd International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2011 - Taichung, Taiwan, Province of China
Duration: 11 Dec 201113 Dec 2011

Publication series

NameApplied Mechanics and Materials
Volume121-126
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2011
Country/TerritoryTaiwan, Province of China
CityTaichung
Period11/12/1113/12/11

Keywords

  • Correlation analysis
  • Entropy
  • Fault symptom
  • Mutual Information

Fingerprint

Dive into the research topics of 'The correlation analysis of discrete variables and continuous variables based on Mutual Information'. Together they form a unique fingerprint.

Cite this