Abstract
This chapter discusses the characteristics of the capacitive sensor signal obtained from a fuel level sensor under dynamic conditions. It also describes a methodology to be used to develop a fluid level measurement system that compensates for the effects of a dynamic environment. This involves using an intelligent signal classification approach based on an Artificial Neural Network (ANN). Signal smoothing functions that will be implemented to enhance the performance of the ANN-based signal classification system are also described.
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Terzic, E., Terzic, J., Nagarajah, R., Alamgir, M. (2012). Methodology. In: A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments. Springer, London. https://doi.org/10.1007/978-1-4471-4060-3_4
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DOI: https://doi.org/10.1007/978-1-4471-4060-3_4
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