Diagnosis and monitoring of an induction motor with bearing fault

Simple item page
dc.contributor.authorGHANAI, Oussama
dc.contributor.authorCHEBLI, Abdenour
dc.contributor.authorEnca/ RAHALI, Hilal
dc.date.accessioned2023-09-14T08:50:30Z
dc.date.available2023-09-14T08:50:30Z
dc.date.issued2023-07-16
dc.description.abstractIn conclusion , this chapter examined the use of the discrete wavelet transform (DWT) on realworld data, showing the potential of this technique. We were able to evaluate the usefulness of DWT in detecting bearing problems early on by translating real-world information. The fundamental goal of our research was to get valuable insights into machine behavior during operation and to investigate novel techniques to monitoring and diagnostics. We have provided the groundwork for additional research and developments in the sector with this chapter, opening the way for improved maintenance procedures and improved industrial system performance.en_US
dc.identifier.urihttp://dspace.univ-msila.dz:8080//xmlui/handle/123456789/40808
dc.language.isoenen_US
dc.publisherUniversity of M'silaen_US
dc.titleDiagnosis and monitoring of an induction motor with bearing faulten_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Diagnosis and monitoring of an induction motor with bearing fault.pdf
Size:
3.18 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Master Thesis