- Tytuł:
- Multi-level health degree analysis of vehicle transmission system based on PSO-BP neural network data fusion
- Autorzy:
-
Wu, Jianpeng
Cui, Jiahao
Shu, Yuechao
Wang, Yuxin
Chen, Ruihan
Wang, Liyong - Powiązania:
- https://bibliotekanauki.pl/articles/24200805.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
- Tematy:
-
vehicle transmission system
data fusion
PSO-BP algorithm
health degree - Opis:
- In order to realize the evaluation of the vehicle transmission system health degree, a prediction model by multi-level data fusion method is established in this paper. The prediction model applies PSO(Particle Swarm Optimization)-BP(Back Propagation) neural network algorithm, calculates the whole machine health degree and each module respective weights from the test data. On this basis, it analyzes the error between the model calculated health degree and theoretical health degree. Then the research verifies the validity and prediction model accuracy. The health degree which is obtained by the single module feature parameters fusion, and the vehicle transmission system health degree is investigated, which is less effective compared to the three-level fusions. After that, by analyzing the vehicle transmission system multi-parameter feature weights, it is found that the mechanical module accounted for the largest damage rate, and the three modules influenced the vehicle transmission system health degree in the order of mechanical module, hydraulic module, and electric control module. The study has played a guiding role in the health management of complex equipment.
- Źródło:
-
Eksploatacja i Niezawodność; 2023, 25, 1; art. no. 4
1507-2711 - Pojawia się w:
- Eksploatacja i Niezawodność
- Dostawca treści:
- Biblioteka Nauki
Artykuł