Machine learning based digital twin as predictive maintenance technology in petrochemical industry /
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Format: | Thesis Book |
Language: | English |
Published: |
2023.
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LEADER | 01010nam a2200265 i 4500 | ||
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001 | u1161612 | ||
003 | SIRSI | ||
005 | 202210171510 | ||
008 | 221017s2023 my a m 000 0 eng | ||
040 | |a UMM |e rda | ||
097 | |a TJ7 |b UM 2023 Mohaamz | ||
100 | 0 | |a Mohd Audi Ashraaf Mohd Zim, |e author. | |
245 | 1 | 0 | |a Machine learning based digital twin as predictive maintenance technology in petrochemical industry / |c Mohd Audi Ashraaf Mohd Zim. |
264 | 1 | |c 2023. | |
300 | |a xviii, 74 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 Mekanik, Fakulti Kejuruteraan, Universiti Malaya |d 2023. | ||
504 | |a Bibliography: leaves 68-73. | ||
650 | 0 | ||
650 | 0 | ||
710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Mekanik, |e degree granting institution. | |
596 | |a 7 | ||
999 | |a XX(1161612.1) |w LC |c 1 |i 1161612-1001 |l INPROCESS |m P07JURUTER |r Y |s Y |t TESIS |u 15/5/2023 |o .STAFF. Tiada Cd disertakan |