Development of sensor-based machinery vibration assessment system for effective faults diagnostic in condition based maintenance using machine learning /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2022.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/14313/ |
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| LEADER | 01501nam a2200337 i 4500 | ||
|---|---|---|---|
| 001 | u1158748 | ||
| 003 | SIRSI | ||
| 005 | 202210171510 | ||
| 008 | 221017s2022 my a m 000 0 eng | ||
| 040 | |a UMM |e rda | ||
| 097 | |a TJ7 |b UM 2022 Syemss | ||
| 100 | 0 | |a Syed Mohd Syafiq Syed Mahmud, |e author. | |
| 245 | 1 | 0 | |a Development of sensor-based machinery vibration assessment system for effective faults diagnostic in condition based maintenance using machine learning / |c Syed mohd Syafiq Syed Mahmud. |
| 264 | 1 | |c 2022. | |
| 300 | |a xv, 104 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |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 2022. | ||
| 504 | |a Bibliography: leaves 74-77. | ||
| 650 | 0 | |a Vibration. | |
| 650 | 0 | |a Deep learning (Machine learning) | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Convolutions (Mathematics) | |
| 650 | 0 | |a Python (Computer program language) | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Mekanik, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/14313/ |
| 900 | |a FNM US | ||
| 596 | |a 7 | ||
| 999 | |a TJ7 UM 2022 SYEMSS |w LC |c 1 |i A517738893 |f 24/2/2023 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 10/11/2022 |1 STEM |o .STAFF. CD dan dokumen berada di perpustakaan kejuruteraan |o .STAFF. kandungan tesis telah dimuatnaik ke dalam repositori-CD shadowed-SMS | ||