1. UKM Learning and Research Repository
  2. Master Thesis / Tesis Master
  3. Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina
Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/474945
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorJamaluddin Jahi-
dc.contributor.authorMazumder Mohammad Didarul Alam-
dc.date.accessioned2023-10-05T06:36:56Z-
dc.date.available2023-10-05T06:36:56Z-
dc.date.issued1997-
dc.identifier.otherukmvital:1186-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/474945-
dc.language.isoeng-
dc.publisherUKM, Bangi-
dc.relationFaculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina-
dc.rightsUKM-
dc.titleFault diagnosis in a distribution system using artificial neural networks.-
dc.typeTheses-
dc.identifier.callnoTA169.6.M39 1997-
Appears in Collections:Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

Files in This Item:
There are no files associated with this item.
Show simple item record Recommend this item


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.