Reliability of Fiber Optic Sensor for Weight Measurement System Fatimah Nur Hidayah1, a), Roedy Kristiyono2, b), Zuhdi Ismail3, c), Norhidayah Che Ani4, d)
1Mechanical Engineering, Sekolah Tinggi Teknologi Warga Surakarta, Jalan Baki - Solo Km. 2 Grogol, Sukoharjo, Jawa Tengah 57522, Indonesia
2Electrical Engineering, Sekolah Tinggi Teknologi Warga Surakarta, Jalan Baki - Solo Km. 2 Grogol, Sukoharjo, Jawa Tengah 57522, Indonesia
3Research Center for Accelerator Technology, National Research and Innovation Agency, Babarsari, Tambak Bayan, Caturtunggal, Depok, Sleman, Daerah Istimewa Yogyakarta 55281, Indonesia
4Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), 86400 Parit Raja, Batu Pahat, Johor, Malaysia
Abstract
Weight data monitoring is needed on transportation for assessment conditions. This study thoroughly investigates the reliability of fiber optic sensor in weight measurement system, specifically focusing on hysteresis, repeatability, and eccentricity. By providing practical experimental observations, this research aims to find out the reliability characteristic of fiber optic sensor. It enhances the understanding of the capabilities and limitations of fiber optic sensor. The impact of hysteresis on sensor performance in dynamic loading and unloading scenarios. Repeatability tests have been done by conducting careful backtesting with 7 kg and 10 kg, each involving 10 repeated data. Then, eccentricity is applied to loading at five points. They are the center, front, left side, back, and, right side. The research results show that linear data is suitable for use in fiber optic sensor. It^s each value of ascending data and descending data are 0.9906 and 0.989. The values of repeatability are 0.007 and 0.03. It shows that the resulting data is trustworthy and reliable. The eccentricity test shows that the maximum value is 0.25. It is crucial to consider for future measurement uncertainty calculations. From the research data, it can be said that the fiber optic sensor can be implemented for weight measurement.
