•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection

Author:
Liu, Jie
Year
: 2012
DOI: 10.1088/0957-0233/23/5/055604
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1540877
Collections :
  • Latin Articles
  • Download: (940.9Kb)
  • Show Full MetaData Hide Full MetaData
  • Statistics

    Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection

Show full item record

contributor authorLiu, Jie
date accessioned2020-03-14T04:29:45Z
date available2020-03-14T04:29:45Z
date issued2012
identifier other3CFCNV6uccB63ylhEjTY8TiqLPGYZptvOq2RcpLQboL8LOhrbC.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1540877
formatgeneral
languageEnglish
titleShannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection
typeJournal Paper
contenttypeFulltext
contenttypeFulltext
identifier padid11231334
identifier doi10.1088/0957-0233/23/5/055604
coverageAcademic
journal volume23
journal issue5
filesize963315
citations0
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace