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Correlation Analysis of Diesel Engine Performance Testing Data Based on Mixed-Copula Method

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Data Mining and Big Data (DMBD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10387))

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Abstract

As an important quality index of diesel engine, the power of diesel engine has a direct impact on the quality and competitiveness of products. Considering the diesel engine performance testing process including many control parameters which are strongly coupled with each other, it is difficult to carry out accurate probability distribution description and correlation analysis, this paper presents a correlation analysis method based on mixed copula model to figure the correlations between multi parameters. This paper begins with the analysis of the engine performance test data with characteristic of non-normal, peak and fat tail, and according to the correlation structure of diesel engine power data, the mixed copula function is constructed by using the weighted linear model to describe asymmetric tail behavior and the expectation maximization method to estimate the related parameters. The results showed that the mixed copula function can well describe the power of diesel engine related structure and tail characteristics.

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Acknowledgments

The authors would like to acknowledge the financial support of the National Science Foundation of China (No. 51435009) and National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No. 2015BAF12B02).

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Authors and Affiliations

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China

    Zha Dongye, Qin Wei & Zhuang Zilong

  2. College of Mechanical Engingeering, Donghua University, 201620, Shanghai, China

    Zhang Jie

Authors
  1. Zha Dongye
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  2. Qin Wei
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  3. Zhang Jie
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  4. Zhuang Zilong
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Corresponding author

Correspondence to Qin Wei .

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Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Kyushu University, Fukuoka, Japan

    Hideyuki Takagi

  3. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Dongye, Z., Wei, Q., Jie, Z., Zilong, Z. (2017). Correlation Analysis of Diesel Engine Performance Testing Data Based on Mixed-Copula Method. In: Tan, Y., Takagi, H., Shi, Y. (eds) Data Mining and Big Data. DMBD 2017. Lecture Notes in Computer Science(), vol 10387. Springer, Cham. https://doi.org/10.1007/978-3-319-61845-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-61845-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61844-9

  • Online ISBN: 978-3-319-61845-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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