Abstract
In this paper we presents an observer based on artificial neuro-fuzzy networks approach to estimate the indicated torque of a diesel engine from crank shaft angular position and velocity measurements. These variables can be measured by low-cost sensors, since the indicated torque is an important signal for monitoring and/or control of a diesel engine; however, it is not practical to measure it, due to it is not easily measured and need expensive sensors. A model of average value of a diesel engine is used in the simulation to test the estimator of the indicated torque, these results are presented. This estimator may be useful in the implementation of control strategies or diagnostic where the indicated torque measurements are required.
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de Lourdes Arredondo, M., Tang, Y., Rodríguez, A.L., Santillán, S., Chávez, R. (2013). Estimation of Indicated Torque for Performance Monitoring in a Diesel Engine. In: Guo, C., Hou, ZG., Zeng, Z. (eds) Advances in Neural Networks – ISNN 2013. ISNN 2013. Lecture Notes in Computer Science, vol 7952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39068-5_59
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DOI: https://doi.org/10.1007/978-3-642-39068-5_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39067-8
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