Abstract
The oleo-pneumatic mechanism (MOP) presents the highest fault rate of all the components of IO-type high-voltage circuit breaker. Hence, estimating the functioning states of MOP-type mechanism is important to maintain full switching capabilities of circuit breaker. In this paper, aspects of functioning state estimation using neural networks are discussed. Several neural network architectures are studied. Neural estimator makes good state estimations, and it can deal with false malfunctions. Also, simulation results are presented.
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Nicolau, V., Andrei, M. (2016). Functioning State Estimator of Pump-Motor Group of MOP-Type Drive Mechanisms Using Neural Networks. In: Balas, V., C. Jain, L., Kovačević, B. (eds) Soft Computing Applications. SOFA 2014. Advances in Intelligent Systems and Computing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-319-18296-4_37
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DOI: https://doi.org/10.1007/978-3-319-18296-4_37
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