Kurniawan, Andre (2023) SISTEM MONITORING KONDISI MOTOR INDUKSI BERBASIS INTERNET OF THINGS (IOT). Undergraduate thesis, Universitas Muhammadiyah Malang.
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Abstract
An induction motor is an electric powered motor that works consistent with an induction modern where the working principle is according with an electric powered field. Induction cars also require extra care so that the induction motor does now not break down fast. whenever a technician assessments the conditions of the induction motor. there's a system used to test the situation of induction vehicles, however it has the weak spot that it is not actual time. due to this trouble, a gadget turned into evolved that turned into used to help reveal the situation of the induction motor in actual time. The intention of this studies is to make it easier to screen induction cars in actual time just through the usage of a phone. so you can monitor everywhere and whenever just with a web connection. The method used on this research is fuzzy sugeno, where this technique can decide whether the bike is in true situation or no longer. The input from Sugeno's fuzzy origin is the result of the detection of each sensor, particularly temperature, voltage and motor pace. in the meantime, the effects from Fuzzy Sugeno are the extent of induction motor necessities in chances. The results that have been achieved from this studies are Android software which could manage induction automobiles in actual time and may determine whether or not the situation of the induction motor is good or not, that is concluded within the condition percentage.
Item Type: | Thesis (Undergraduate) |
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Student ID: | 201710130311119 |
Keywords: | Induction, Internet of Things, Monitoring System, Real Time |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering > Department of Electrical Engineering (20201) |
Depositing User: | 201710130311119 kurniawanbarjok99 |
Date Deposited: | 09 Nov 2023 08:55 |
Last Modified: | 09 Nov 2023 09:02 |
URI: | https://eprints.umm.ac.id/id/eprint/676 |