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Extrapolation of Load Spectrum Based on KANN-DBSCAN Bandwidth Optimization Kernel Density Estimation
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Jinbao Zhang1, Yongle Yang1, Zhifei Zhang1, Liangfeng Peng2, Weixiong Lin3, Youyuan Zhang3, Zhongming Xu1
Automotive Engineering | 2024, 46(11) : 2100 - 2109
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Automotive Engineering | 2024, 46(11): 2100-2109
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Extrapolation of Load Spectrum Based on KANN-DBSCAN Bandwidth Optimization Kernel Density Estimation
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Jinbao Zhang1, Yongle Yang1, Zhifei Zhang1, Liangfeng Peng2, Weixiong Lin3, Youyuan Zhang3, Zhongming Xu1
Affiliations
  • 1. School of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044
  • 2. Xiangyang Da An Automobile Test Center Limited Corporation,Xiangyang 441004
  • 3. Dongfeng Liuzhou Motor Co. ,Ltd. ,Liuzhou 545000
Published: 2024-11-25 doi: 10.19562/j.chinasae.qcgc.2024.11.016
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Considering the limitation of global fixed bandwidth of load extrapolation for kernel density estimation,a load extrapolation method based on K-Average Nearest Neighbor Density-Based Spatial Clustering of Applications with Noise (KANN-DBSCAN) kernel density estimation (KDE) is proposed. The load data is grouped and clustered using the KANN-DBSCAN clustering algorithm,and the Rule-of-thumb (ROT) method is used to obtain the optimal bandwidth between different clusters. Then the kernel density estimation is conducted,and finally extrapolation is carried out using Monte Carlo simulation. The extrapolation rationality is verified using the measured load data of a certain electric vehicle on user road as the application object. The extrapolation effect is assessed by the three indicators of statistical parameter quantity,goodness of fit,and pseudo-damage. The results show that compared with the traditional fixed bandwidth kernel density estimation extrapolation method,the extrapolation load obtained by the DBSCSN kernel density estimation extrapolation method is closer to the actual load in statistical parameters,and the error of the mean,standard deviation,and maximum value is only 1.9%,4.3%,and 1.9%,respectively. The magnitude cumulative frequency curve fits R 2 are all greater than 0.99,and the pseudo-damage is close to 1. The results show the effectiveness of the clustering method in kernel density estimation load extrapolation,which is helpful for compiling the load spectrum of electric vehicles on customer service road,and can provide reference for the load extrapolation of mechanical parts with similar load distribution characteristics.

load extrapolation  /  clustering  /  kernel density estimation  /  rule-of-thumb  /  Monte-Carlo simulation
Jinbao Zhang, Yongle Yang, Zhifei Zhang, Liangfeng Peng, Weixiong Lin, Youyuan Zhang, Zhongming Xu. Extrapolation of Load Spectrum Based on KANN-DBSCAN Bandwidth Optimization Kernel Density Estimation[J]. Automotive Engineering, 2024 , 46 (11) : 2100 -2109 . DOI: 10.19562/j.chinasae.qcgc.2024.11.016
Year 2024 volume 46 Issue 11
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.11.016
  • Receive Date:2024-04-26
  • Online Date:2025-07-21
  • Published:2024-11-25
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  • Received:2024-04-26
  • Revised:2024-05-29
Affiliations
    1. School of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044
    2. Xiangyang Da An Automobile Test Center Limited Corporation,Xiangyang 441004
    3. Dongfeng Liuzhou Motor Co. ,Ltd. ,Liuzhou 545000
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表12种不同金属材料的力学参数

Family
属数
Number of
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种数
Number of
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占总种数比例
Percentage of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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