Abstract
Using reliability evaluation for diesel engine is a complex, dynamic and uncertain process. In order to make an objective and right evaluation, and offer a stronger decision-making tool for designer and user of diesel engine, the neural-network-driven fuzzy reasoning mechanism of using reliability evaluation was developed based on the detail analysis of engine using reliability in the case that there is no sufficient quantitative information or the information is fuzzy and imprecise, where a feedforward neural network was used to replace fuzzy evaluation in the fuzzy system. Applications show that the evaluation result can be used as references for the improvement of reliability and maintainability of engines, and for the establishment of maintenance strategy.
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Gu, YK., Huang, KQ. (2010). A Using Reliability Evaluation Model for Diesel Engine Based on Fuzzy Neural Network. In: Zeng, Z., Wang, J. (eds) Advances in Neural Network Research and Applications. Lecture Notes in Electrical Engineering, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12990-2_17
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DOI: https://doi.org/10.1007/978-3-642-12990-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12989-6
Online ISBN: 978-3-642-12990-2
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