Tricahya, Albert Kurniawan Willi (2024) Sistem Reliability Centered Maintenance Sebagai Upaya Untuk Memperkirakan Predictive Maintenance Sistem Menggunakan IoT. Other thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 10511910000059-Undergraduate_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
10511910000059-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 July 2026. Download (24MB) | Request a copy |
Abstract
Reliability Centered Maintenance (RCM) adalah sebuah metode pemeliharaan yang fokus pada keandalan sistem dalam memberikan kinerja optimal. Salah satu upaya untuk meningkatkan efektivitas RCM adalah dengan mengintegrasikan Internet of Things (IoT) pada sistem maintenance. Performa sistem monitoring laju aliran dan tekanan telah bekerja dengan baik. Hal itu dibuktikan dari nilai rata-rata 97.4 %. Dan memiliki nilai error sebesar 2.6% untuk pengukuran laju aliran. Sedangkan performa monitoring untuk tekanan kurang baik. Hal itu ditunjukkan oleh nilai rata-rata error tekanan sebesar 44,35%, span sebesar 1608,8666 Pa, sedangkan sensitivitas sebesar 0,0057. Hal ini dikarenakan tekanan yang masuk pada sensor tidak lebih dari 1 bar sehingga sensor tidak dapat menghitung dengan tepat nilai pressure yang sebenarnya. Nilai perhitungan dari mesin RCM juga menunjukkan tidak ada error dan perbedaan nilai dengan perhitungan manual sehingga memiliki keakuratan sebesar 100% dibandingkan dengan nilai perhitungan manual
====================================================================================================================================
Reliability Centered Maintenance (RCM) is a maintenance method that focuses on system reliability in providing optimal performance. One effort to increase the effectiveness of RCM is by integrating the Internet of Things (IoT) into the maintenance system. 3. The performance of the flow rate and pressure monitoring system has worked well. This is proven by the average value of 97.4%. And has an error value of 2.6% for flow rate measurements. Meanwhile, monitoring performance under pressure is not good. This is shown by the average pressure error value of 44.35%, span of 1608.8666 Pa, and sensitivity of 0.0057. This is because the pressure entering the sensor is no more than 1 bar so the sensor cannot calculate the actual pressure value accurately. The calculation values from the RCM machine also show no errors and differences in values with manual calculations so they have an accuracy of 100% compared to manual calculation values.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Reliability Centered Maintenance (RCM), Internet of Things (IoT) |
| Subjects: | T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7870.23 Reliability. Failures |
| Divisions: | Faculty of Vocational > Instrumentation Engineering |
| Depositing User: | Albert Kurniawan Willi Tricahya |
| Date Deposited: | 15 Feb 2024 08:48 |
| Last Modified: | 15 Feb 2024 08:48 |
| URI: | http://repository.its.ac.id/id/eprint/107473 |
Actions (login required)
 |
View Item |