Abstract
The intelligent diagnosis technology of engines is developing towards automation and intelligence. This trend not only puts forward higher requirements for the safety and reliability of engines, but also promotes the progress of online engine operating condition monitoring and fault diagnosis and prediction technology. The paper makes full use of the respective advantages of fuzzy system and neural network, which can better intelligently diagnose engine faults. Finally, simulation analysis proves the effectiveness of the proposed method.
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Han, K., Shang, T., Yang, J., Yu, Y. (2021). The Intelligent Fault Diagnosis Method Based on Fuzzy Neural Network. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_83
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DOI: https://doi.org/10.1007/978-981-33-4572-0_83
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