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Improved Random Forest Fault Diagnosis Model Based on Fault Ratio Cover
By: Ziwei Ding and  Shunyuan Huang  
Open Access
|May 2023

Figures & Tables

Figure 1.

Random forest model
Random forest model

Figure 2.

Random forest model construction process
Random forest model construction process

Figure 3.

Characteristic exact ratio
Characteristic exact ratio

Figure 4.

Unbalanced data processing method
Unbalanced data processing method

Figure 5.

Unbalanced data processing method
Unbalanced data processing method

Figure 6.

Comparison of experimental results
Comparison of experimental results

Model metrics

Evaluation criteriaResult
ACC96.94%
Precision96.27%
Recall96.27%
F1 score0.9627
AUC0.9701

Model results

ForecastPhysical truth

Normal dataFault data
Normal data1561114
Fault data14361

j_ijanmc-2022-0019_tab_004

Improved random forest algorithm based on fault ratio

  • Step1: The training samples were randomly put back from the data set, and were extracted for n times in total to obtain n independent training sets with repeated elements.

  • Step2: The n decision trees are trained on different training sets.

  • Step3: The sample category labels corresponding to N decision trees were analyzed, and the final voting induction was carried out by combining the improved voting decision method based on fault ratio.

Data variance comparison

Attribute nameStandard deviation after median supplementThe standard deviation of the mean
aa_0001.454301e+051.454301e+05
ac_0007.767625e+087.724678e+08
ad_0003.504525e+073.504515e+07
ae_0001.581479e+021.581420e+02
af_0002.053871e+022.053753e+02
......
ee_0071.718666e+061.718366e+06
ee_0084.472145e+054.469894e+05
ee_0094.721249e+044.720424e+04
ef_0004.268570e+004.268529e+00
eg_0008.628043e+008.627929e+00
Language: English
Page range: 85 - 91
Published on: May 26, 2023
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Ziwei Ding, Shunyuan Huang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.