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Human Error Analysis of Marine Power System Based on Grey Correlation

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Proceedings of 20th International Conference on Industrial Engineering and Engineering Management
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Abstract

In this paper, the main mechanism and classification of human error in marine power system are summarized. Also, the factors of human error are studied by using grey correction analysis in order to find out the relationship between human error and root causes. The importance ranking of root causes is presented according to the calculation result of the correlation as follows: organization management defect, the poor basic operational capability, the deficiency of theoretical knowledge, operating procedures defect, the lack of cross-check among systems or subsystems. The conclusions can provide an important reference for practical engineering.

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References

  • Gang Wei, Yuhang Yang, Wuhong Wang (2002) A reliability model of man-machine system based on dependence among stimuli, organisms and action. Acta Armamentarii 23(4):438–441. (in Chinese)

    Google Scholar 

  • Guobin Chen (2010) Research on safety analysis method of mechanical system based on BN model. Naval University of Engineering, Wuhan (in Chinese)

    Google Scholar 

  • Helmreich RL (1997) Managing human error in aviation. Sci Am 276(5):62–67

    Article  Google Scholar 

  • Kim MC, Seong PH (2006) A computational method for probabilistic safety assessment of I & C systems and human operators in nuclear power plants. Reliab Eng Syst Saf 91:580–593

    Article  Google Scholar 

  • Li Zhang, Li cao Dai, Ming Zhao (2005) Statistics and analysis of WANO human factor events. Nucl Power Eng 26(3):291–296. (in Chinese)

    Google Scholar 

  • Li Zhang, Li cao Dai, Ming Zhao Chun, Ceng, Minghai Song, Xiao chun Peng (2012) Human reliability analysis in third Qinshan nuclear power plant. At Energy Sci Technol 46(4):416–421 (in Chinese)

    Google Scholar 

  • Lianyin Zhai, Li-Pheng Khoo, Zhaowei Zhong (2009) Design concept evaluation in product development using rough sets and grey relation analysis. Expert Syst Appl 36(3):7072–7079

    Article  Google Scholar 

  • Maoxing Shen, Xifeng Xue, Xiaoshui Zhang (2003) Determination of discrimination coefficient in grey incidence analysis. J Air Force Eng Univ (Nat Sci) 4(1):68–70. (in Chinese)

    Google Scholar 

  • Norman DA (1983) Design rules based on analyses of human error. Commun ACM 26(4):254–258

    Article  Google Scholar 

  • Rasmussen J (1982) Human errors. A taxonomy for describing human malfunction in industrial installations. J Occup Accid 4(2):311–333

    Article  Google Scholar 

  • Rasmussen J (1987) The definition of human error and a taxonomy for technical system design. Wiley, Toronto, pp 23–30

    Google Scholar 

  • Rizzo A, Ferrante D, Bagnara S (1995) Handling human error. Expertise and technology. In: Hoc J-M, Cacciabue PC, Hollnagel E (eds) Cognition & human-computer cooperation, L. Erlbaum Associates Inc. Hillsdale, NJ, USA, pp 195–212

    Google Scholar 

  • Rouse WB, Rouse SH (1983) Analysis and classification of human error. Syst Man Cybern IEEE Trans SMC-13(4):539–549

    Article  Google Scholar 

  • Vogt J, Leonhardt J, Köper B et al (2010) Human factors in safety and business management. Ergonomics 53(2):149–163

    Article  Google Scholar 

  • Williams D (2012) Human systems integration synthesis model for ship design. Dissertation, Naval Postgraduate School, Monterey, California

    Google Scholar 

  • Zhengliang Hou (2011) Research on evaluation method of human reliability quantification for ship power system. Naval University of Engineering, Wuhan (in Chinese)

    Google Scholar 

Download references

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Correspondence to Guang-hui Qi .

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Qi, Gh., Yu, Lm., Pan, Yc., Leng, Y. (2013). Human Error Analysis of Marine Power System Based on Grey Correlation. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40063-6_72

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