Susanto, Misfa and Saputra, Rizky and Herlinawati, herlinawati and Savetlana, Shirley and Alam, Syaiful (2021) Prototype of Sensor Node for Low-Cost Machine Vibration Monitoring System Using Accelerometer Sensor. IEEE.
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Abstract
One important aspect in industrial manufacturing processes is the maintenance of machines' conditions. Therefore, monitoring the machine healthiness conditions is a crucial action. The drawback of conventional monitoring method is inefficiencies of the method due to the need to visit every single machine. One parameter for monitoring the machine's healthiness is vibration for the machines that have the motor components. This paper proposes a real-time monitoring system for such vibration monitoring. The proposed system is based on wireless sensor network (WSN). The nodes' prototype of proposed WSN was built and consisted of three nodes i.e. two sensor nodes and one sink node. The main component of the proposed system is Arduino uno which is not expensive relatively. In order to monitor the vibration parameter, the used sensor is the ADXL345 accelerometer sensor. The system design and testing have been carried out. The testing has been done for two aspects; the evaluation of communication performances and the machine vibration field measurements. The parameter for the testing of communication aspect is the data throughput that has been collected for the network performance evaluation. For the testing in real situations, the coffee grinder machine was chosen to be applied for the vibration monitoring system using one sensor and one sink nodes. From the testing results, the system achieved 546 bps of best throughput and was able to measure on the conditions of various supply powers to the machine. It implies the feasibility of the system in monitoring the vibration of the machine.
| Item Type: | Other |
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| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Teknik (FT) > Prodi Teknik Elektro |
| Depositing User: | Dr Misfa Susanto |
| Date Deposited: | 27 Feb 2023 07:32 |
| Last Modified: | 27 Feb 2023 07:32 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/48598 |
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