Prognosis of rolling bearing failure based on regression analysis and fuzzy logic

Erkki Jantunen

Research output: Contribution to journalArticleScientific

Original languageEnglish
Pages (from-to)97-108
Number of pages12
JournalAdvances in Vibration Engineering
Volume5
Issue number2
Publication statusPublished - 2006
MoE publication typeB1 Article in a scientific magazine

Keywords

  • bearing wear
  • condition monitoring
  • signal analysis
  • regression model
  • automatic diagnosis
  • prognosis
  • fuzzy logic

Cite this

@article{cd79bbe9eaab4cd69b485ba8e19f3572,
title = "Prognosis of rolling bearing failure based on regression analysis and fuzzy logic",
keywords = "bearing wear, condition monitoring, signal analysis, regression model, automatic diagnosis, prognosis, fuzzy logic",
author = "Erkki Jantunen",
note = "Project code: H2SU00063",
year = "2006",
language = "English",
volume = "5",
pages = "97--108",
journal = "Journal of Vibration Engineering & Technologies",
issn = "2523-3920",
publisher = "Springer",
number = "2",

}

Prognosis of rolling bearing failure based on regression analysis and fuzzy logic. / Jantunen, Erkki.

In: Advances in Vibration Engineering, Vol. 5, No. 2, 2006, p. 97-108.

Research output: Contribution to journalArticleScientific

TY - JOUR

T1 - Prognosis of rolling bearing failure based on regression analysis and fuzzy logic

AU - Jantunen, Erkki

N1 - Project code: H2SU00063

PY - 2006

Y1 - 2006

KW - bearing wear

KW - condition monitoring

KW - signal analysis

KW - regression model

KW - automatic diagnosis

KW - prognosis

KW - fuzzy logic

M3 - Article

VL - 5

SP - 97

EP - 108

JO - Journal of Vibration Engineering & Technologies

JF - Journal of Vibration Engineering & Technologies

SN - 2523-3920

IS - 2

ER -