Abstract
Aiming at the problem that the traditional remaining useful lifetime (RUL) prediction method based on particle filter has low prediction accuracy due to particle degeneracy and impoverishment, an improved RUL prediction method based on the improved particle filter for aviation equipment is proposed. The importance sampling function of particles is randomly generated by introducing the variational auto-encoder, and a new particle reinforced mechanism is proposed in the resampling stage, which effectively overcomes the problem of particle degeneracy and impoverishment, and improves the performance of the RUL prediction method. The accuracy of the method is verified by the example analysis.
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Yangjun, G., Zezhou, W. (2023). Remaining Useful Lifetime Prediction Method of Aviation Equipment Based on Improved Particle Filter. In: Nakamatsu, K., Kountchev, R., Patnaik, S., Abe, J.M. (eds) Advanced Intelligent Technologies for Information and Communication. ICAIT 2022. Smart Innovation, Systems and Technologies, vol 365. Springer, Singapore. https://doi.org/10.1007/978-981-99-5203-8_10
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DOI: https://doi.org/10.1007/978-981-99-5203-8_10
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