Classification of partial discharge types using signal processing and artificial intelligence technique /
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Format: | Thesis Book |
Language: | English |
Published: |
2016.
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LEADER | 01509cam a2200349 i 4500 | ||
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001 | u1037601 | ||
003 | SIRSI | ||
005 | 201509081114 | ||
008 | 160804s2016 my a m 000 0 eng | ||
040 | |a UMJ |e rda | ||
090 | |a TK7 |b UM 2016 Meoazmm | ||
097 | |a TK7 |b UM 2016 Meoazmm | ||
100 | 0 | |a Meor Ahmad Zainal Meor Muhamud, |e author. | |
245 | 1 | 0 | |a Classification of partial discharge types using signal processing and artificial intelligence technique / |c Meor Ahmad Zainal bin Meor Muhamud. |
264 | 1 | |c 2016. | |
264 | 4 | |c 2016. | |
300 | |a xv, 127 leaves : |b illustrations ; |c 30 cm. | ||
336 | |a text |2 rdacontent | ||
337 | |a unmediated |2 rdamedia | ||
338 | |a volume |2 rdacarrier | ||
502 | |b M.Eng. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2016. | ||
504 | |a Bibliography: leaves 123-127. | ||
530 | |a Issued also in CD. | ||
650 | 0 | |a Electric discharges. | |
650 | 0 | |a Signal processing. | |
650 | 0 | |a Artificial intelligence. | |
710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
596 | |a 1 7 | ||
900 | |a NSM AMA | ||
999 | |a TK7 UM 2016 MEOAZMM |w LC |c 1 |i A516388799 |d 19/11/2018 |e 19/11/2018 |f 2/11/2016 |g 1 |l STACKS |m P01UTAMA |n 2 |r Y |s Y |t TESIS |u 1/11/2016 |1 STEM | ||
999 | |a TK7 UM 2016 MEOAZMM |w LC |c 1 |i A516719005 |d 30/3/2017 |f 30/3/2017 |g 1 |l STACKS |m P07JURUTER |r N |s Y |t TESIS |u 30/3/2017 |1 STEM | ||
999 | |a TK7 UM 2016 MEOAZMM |w LC |c 2 |i A516718994 |d 30/3/2017 |f 30/3/2017 |g 1 |l COUNTER |m P07JURUTER |r N |s Y |t CD |u 30/3/2017 |1 STEM |