Toward Improvement of Resistance Testing Reliability

Authors

  • I Ketut Aria Pria Utama Institute of Technology Sepuluh Nopember, Surabaya,
  • Dian Purnamasari IHL, Agency for The Assessment and Application of Technology (BPPT), Jalan Hidrodinamika BPPT, Kompleks ITS Sukolilo, Surabaya 60112
  • I Ketut Suastika Department of Naval Architecture, Sepuluh Nopember Institute of Technology (ITS), Keputih, Sukolilo, Surabaya 60111
  • Nurhadi Nurhadi IHL, Agency for The Assessment and Application of Technology (BPPT), Jalan Hidrodinamika BPPT, Kompleks ITS Sukolilo, Surabaya 60112,
  • Giles Anthony Thomas Department of Mechanical Engineering, University College London, Gower Street, London

DOI:

https://doi.org/10.5614/j.eng.technol.sci.2021.53.2.1

Keywords:

resistance, kalman filter, low-pass filter, benchmark test.

Abstract

Periodically conducting a benchmark test with estimated uncertainty is important to improve the quality of resistance predictions and understand the influence of instrumentation, testing procedures and analysis techniques. The LHI-007 Ro-Ro Ferry ship model, made available by the Maritime Research Institute Netherlands (MARIN), was used for benchmark testing from 2010 to 2018 at the Indonesian Hydrodynamic Laboratory. Comparisons were made between filtering the resistance data with a low-pass filter and with a Kalman filter. This work shows how benchmark tests can be used to track test performance over a longer period and proposes techniques to improve the uncertainty in the resistance results.

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Author Biography

I Ketut Aria Pria Utama, Institute of Technology Sepuluh Nopember, Surabaya,

Department of Naval Architecture, Sepuluh Nopember Institute of Technology (ITS), Keputih, Sukolilo, Surabaya 60111,

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Published

2021-03-12

How to Cite

Utama, I. K. A. P., Purnamasari, D., Suastika, I. K., Nurhadi, N., & Thomas, G. A. (2021). Toward Improvement of Resistance Testing Reliability. Journal of Engineering and Technological Sciences, 53(2), 210201. https://doi.org/10.5614/j.eng.technol.sci.2021.53.2.1

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Articles