Zhang Lin

Work place: School of Textile and Light Industry, Dalian Polytechnic University, Dalian, China

E-mail: zhlpopo@126.com


Research Interests: Artificial Intelligence


Zhang Lin, (1981-),Female, Lecturer, Master,   Engaged   in   the   research   of packaging  reliability  analysis  based  on artificial intelligence

Author Articles
Study on Diesel Engine Fault Diagnosis Method based on Integration Super Parent One Dependence Estimator

By Wang Xin Yu Hongliang Zhang Lin Huang Chaoming Song Yuchao

DOI: https://doi.org/10.5815/ijigsp.2011.01.02, Pub. Date: 8 Feb. 2011

Under the background of the deficiencies and shortcomings in traditional diesel engine fault diagnostic, the naïve Bayesian classifier method which built on the basis of the probability density function is adopted to diagnose the fault of diesel engine. A new approach is proposed to weight the super-parent one dependence estimators. To verify the validity of the proposed method, the experiments are performed using 16 datasets collected by University of California Irvine (UCI) and 5 diesel engine datasets collected by our lab. The comparison experimental results with other algorithms demonstrate the effectiveness of the proposed method.

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