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Thanatorn Sootsukon. Industry 4.0 project for predictive maintenance and visibility problem with Arduino project. Master's Degree(Logistics and Supply Chain Systems Engineering). Thammasat University. Thammasat University Library. : Thammasat University, 2024.
Industry 4.0 project for predictive maintenance and visibility problem with Arduino project
Name: Thanatorn Sootsukon
keyword:
Industry 4.0
;
Arduino
Abstract:
In global industries, including those in Thailand within the Industry 4.0 era, machinery plays a important role. There's a focus on examining factory machinery to create affordable equipment for machine inspection. We placed an Arduino device on an air compressor in a factory to collect vibration data and evaluate various hand machines' operational aspects over two months. The differences in vibration values between normal and abnormal states were noticeable. These vibration readings are useful for predictive maintenance, helping assess operational conditions for both typical and unusual machine states. This research is valuable for Small and Medium Enterprises (SMEs) as it supports the development of cost-effective machinery monitoring systems that are practical and economically viable.
Thammasat University. Thammasat University Library
Address:
BANGKOK
Email:
preserv@tu.ac.th
Name: Warut Pannakkong
Role:
advisor
Created:
2024
Modified:
2024-11-25
Issued:
2024-11-25
วิทยานิพนธ์/Thesis
application/pdf
eng
DegreeName: Master of Engineering
Level: Master's Degree
Descipline: Logistics and Supply Chain Systems Engineering
Grantor: Thammasat University
©copyrights Thammasat University
RightsAccess:
ใช้เวลา
0.02472 วินาที
Thanatorn Sootsukon
| Title | Contributor | Type |
|---|---|---|
| Industry 4.0 project for predictive maintenance and visibility problem with Arduino project
มหาวิทยาลัยธรรมศาสตร์ Thanatorn Sootsukon | Warut Pannakkong | วิทยานิพนธ์/Thesis |
Warut Pannakkong