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Fluid Level Sensing Using Artificial Neural Networks

  • Terzic E
  • Terzic J
  • Nagarajah R
  • et al.
Springer London, (2012), 39-55
DOI: 10.1007/978-1-4471-4060-3_3
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Abstract

… In fuel level systems, the slosh waves produced in the tank consist of low-frequency components. Therefore, only the lower frequency range (0–10 Hz) can be selected and fed into the …

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Terzic, E., Terzic, J., Nagarajah, R., & Alamgir, M. (2012). Fluid Level Sensing Using Artificial Neural Networks. In A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments (pp. 39–55). Springer London. https://doi.org/10.1007/978-1-4471-4060-3_3

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