Information Theory and Its Application in Machine Condition Monitoring

Yongbo Li; Fengshou Gu; Xihui Liang

doi:10.3390/e24020206

Information Theory and Its Application in Machine Condition Monitoring

Yongbo Li, Fengshou Gu, Xihui Liang

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Article number	206
Number of pages	3
Journal	Entropy
Volume	24
Issue number	2
Early online date	28 Jan 2022
DOIs	https://doi.org/10.3390/e24020206
Publication status	Published - 1 Feb 2022

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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@article{244bc6400f5b486c8547e0fa98a015e0,

title = "Information Theory and Its Application in Machine Condition Monitoring",

keywords = "Information theory, Machine condition monitoring",

author = "Yongbo Li and Fengshou Gu and Xihui Liang",

year = "2022",

month = feb,

day = "1",

doi = "10.3390/e24020206",

language = "English",

volume = "24",

journal = "Entropy",

issn = "1099-4300",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "2",

}

TY - JOUR

T1 - Information Theory and Its Application in Machine Condition Monitoring

AU - Li, Yongbo

AU - Gu, Fengshou

AU - Liang, Xihui

PY - 2022/2/1

Y1 - 2022/2/1

KW - Information theory

KW - Machine condition monitoring

UR - https://www.scopus.com/pages/publications/85124123473

U2 - 10.3390/e24020206

DO - 10.3390/e24020206

M3 - Editorial

AN - SCOPUS:85124123473

SN - 1099-4300

VL - 24

JO - Entropy

JF - Entropy

IS - 2

M1 - 206

ER -

Information Theory and Its Application in Machine Condition Monitoring

UN SDGs

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