Alat Monitoring Getaran Motor Listrik Induksi 1 Phase Berbasis Internet of Think (IoT)
DOI:
https://doi.org/10.47134/innovative.v3i2.100Keywords:
Motor Listrik, Getaran, Putaran Motor, Vibration Sensor, Adxl 335 SensorAbstract
Motor listrik banyak digunakan di industri. Untuk mengetahui kerusakan, dapat dideteksi dari suhu, getaran dan arusnya. Perubahan suhu getaran dan arus motor listrik yang abnormal terjadi disebabkan karena adanya kerusakan diantaranya kerusakan pada bearing, ketidakseimbangan beban, miss alighment, kegagalan isolasi pada lilitan motor dan lain-lain. Penelitian ini bertujuan untuk merancang alat monitoring getaran dan putaran motor listrik berbasis internet of things (IoT). Penelitian ini dapat digunakan untuk membantu mendeteksi dini kerusakan awal pada motor listrik yang dapat menyebabkan pola getaran dan putaran cenderung naik, sehingga dapat mendukung program pemeliharaan pada motor listrik. Peralatan tersebut terdiri dari sensor getaran Adxl 335. Agar alat dapat bekerja sesuai dengan yang diinginkan pengujian getaran dan putaran motor listrik di-setting di badan motor listrik.
References
Afia, A. (2023). Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 45(10). https://doi.org/10.1007/s40430-023-04451-z DOI: https://doi.org/10.1007/s40430-023-04451-z
Aguayo-Tapia, S. (2023). Physical Variable Measurement Techniques for Fault Detection in Electric Motors. Energies, 16(12). https://doi.org/10.3390/en16124780 DOI: https://doi.org/10.3390/en16124780
Ahir, S. (2024). Relational Map Between Vibration and Corresponding Current Signatures in Induction Motors. Lecture Notes in Mechanical Engineering, 337–344. https://doi.org/10.1007/978-981-99-4270-1_34 DOI: https://doi.org/10.1007/978-981-99-4270-1_34
Ayyappan, G. S. (2023). Mathematical Modelling and IoT Enabled Instrumentation for Simulation & Emulation of Induction Motor Faults. IETE Journal of Research, 69(4), 1829–1841. https://doi.org/10.1080/03772063.2021.1875272 DOI: https://doi.org/10.1080/03772063.2021.1875272
Bekchanov, F. (2023). Control method for stage degradation of centrifugal pump unit parts in the system of technical condition monitoring and automatic diagnosis. E3S Web of Conferences, 365. https://doi.org/10.1051/e3sconf/202336503022 DOI: https://doi.org/10.1051/e3sconf/202336503022
Chen, S. (2023). Analysis and Suppression of Electromagnetic Vibration of Surface Mounted Permanent Magnet Synchronous Motor for Ships. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 38(5). https://doi.org/10.19595/j.cnki.1000-6753.tces.211493
Electronics, M. (1983, March 14). "Mouser Electronics." OSEPP Electronics. [Online]. Available: https://www.mouser.com/datasheet/2/758/DHT11-Technical-Data-Sheet-Translated-Version-1143054.pdf. [Accessed January 2, 2021].
Goldsmid, H. J. (1964). Thermoelectric Refrigeration. New York: Plenum Press. DOI: https://doi.org/10.1007/978-1-4899-5723-8
J. T. M. S-1. (2014). Diagnosa kerusakan motor induksi dengan sinyal getaran.
Jung, W. (2023). Vibration and current dataset of three-phase permanent magnet synchronous motors with stator faults. Data in Brief, 47. https://doi.org/10.1016/j.dib.2023.108952 DOI: https://doi.org/10.1016/j.dib.2023.108952
Kurvatek. (2016). Rekayasa peralatan pendeteksi dini kerusakan pada motor listrik berbasis komputer. Yogyakarta.
Magadán, L. (2023). Low-Cost Industrial IoT System for Wireless Monitoring of Electric Motors Condition. Mobile Networks and Applications, 28(1), 97–106. https://doi.org/10.1007/s11036-022-02017-2 DOI: https://doi.org/10.1007/s11036-022-02017-2
Pahleviannur, M. R. (2022). Penentuan Prioritas Pilar Satuan Pendidikan Aman Bencana (SPAB) menggunakan Metode Analytical Hierarchy Process (AHP). Pena Persada. DOI: https://doi.org/10.31237/osf.io/6ghyz
Pahleviannur, M. R., Ayuni, I. K., Widiastuti, A. S., Umaroh, R., Aisyah, H. R., Afiyah, Z., Azzahra, I., Chairani, M. S., Dhafita, N. A., & Rohmah, N. L. (2023). Kerentanan Sosial Ekonomi terhadap Bencana Banjir di Hilir DAS Citanduy Bagian Barat Kabupaten Pangandaran Jawa Barat. Media Komunikasi Geografi, 24(2), 189–205. DOI: https://doi.org/10.23887/mkg.v24i2.66370
Parvin, F. (2023). A Comprehensive Interturn Fault Severity Diagnosis Method for Permanent Magnet Synchronous Motors Based on Transformer Neural Networks. IEEE Transactions on Industrial Informatics, 19(11), 10923–10933. https://doi.org/10.1109/TII.2023.3242773 DOI: https://doi.org/10.1109/TII.2023.3242773
Pattipawaej, A. D. A. O. C. (2016). Terhadap konsentrasi pekerja.
Riva’i, M., & Pranandita, N. (2019). Analisa Getaran Akibat Kerusakan Deep Grove Ball Bearing Seri 6003RS. Manutech : Jurnal Teknologi Manufaktur, 9(02), 39-43. https://doi.org/10.33504/manutech.v9i02.44Eksergi. (2017). Jurnal Teknik Energi. DOI: https://doi.org/10.33504/manutech.v9i02.44
Rohm Semiconductor. (2010, April). [Online]. Available: https://pdf1.alldatasheet.com/datasheet-pdf/view/350139/ROHM/BH1750FVI.html. [Accessed February 21, 2021].
Royan Hidayat, G. R. W. (2017). Analisis getaran pada kompresor mesin pendingin dengan variasi putaran (RPM), vol.15.
Samsugi, A. D. K. (2018). "Arduino Dan Modul Wifi Esp8266sebagai Media Kendali Jarak Jauh Dengan Antarmuka Berbasis Android," Jurnal TEKNOINFO, 12, 23-27. DOI: https://doi.org/10.33365/jti.v12i1.42
Sastrowinoto, S. (1985). Meningkatkan produktivitas dengan ergonomi. Jakarta: Pertja.
Suhariningsih. (2012). "Rancang Motor Listrik," Jurnal Teknik Elektro.
Toirov, O. (2023). Diagnostics of pumping units of pumping station of machine water lifting. E3S Web of Conferences, 365. https://doi.org/10.1051/e3sconf/202336504013 DOI: https://doi.org/10.1051/e3sconf/202336504013
Wicaksono, M. F. (2017). Mudah Belajar Mikrokontroler Arduino. Bandung: Informatika Bandung.
Wignjosoebroto, S. (1995). Ergonomi studi gerak dan waktu teknik analisis untuk peningkatan produktivitas kerja. Jakarta: Guna Widya.
Wingjosoebroto. (2000). Ergonomi, studi gerak dan waktu. Jakarta: Kanisius.
Wu, H. (2023). Current signal characteristics analysis of transmission system in high-speed train under abnormal vibration conditions. Vehicle System Dynamics, 61(4), 1151–1167. https://doi.org/10.1080/00423114.2022.2071745 DOI: https://doi.org/10.1080/00423114.2022.2071745
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