The Preventive Maintenance of Highway Based on Data Mining
| Autor: | Mingxin Nie, Shunzhou Xiao |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Association rule learning
0211 other engineering and technologies Anomaly detection algorithm Regression analysis 02 engineering and technology Highway maintenance computer.software_genre Preventive maintenance 020303 mechanical engineering & transports 0203 mechanical engineering lcsh:TA1-2040 021105 building & construction Data mining lcsh:Engineering (General). Civil engineering (General) human activities computer |
| Zdroj: | MATEC Web of Conferences, Vol 139, p 00084 (2017) |
| ISSN: | 2261-236X |
| Popis: | Judging from the current situation of Chinese highway maintenance,only after there is highway distress would the staff have a repair, that results in the poor efficiency of highway maintenance. In order to improve the efficiency of highway maintenance,this paper will use data mining technology to predict the pavement performance of highway and analyze the main factors of pavement performance attenuation,so that the preventive maintenance can be carried out.We will provide data support to the preventive maintenance of highway by using the isolation Forest anomaly detection algorithm to have a data pretreatment, the regression model and time series GM (1,1) model to predict the pavement performance and the association rule analysis and isolation Forest to analyze the main factors of pavement performance attenuation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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