Shasha Teng's research while affiliated with Nanchang University and other places
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Publications (4)
Aiming at hardware product’s reliability step change during the phase switch process, this study analyzes the factors that affect the reliability step change from the structural and nonstructural factors of the manufacturing system. The evaluation index system and evaluation model of reliability step change based on catastrophe theory are establish...
Based on the analysis of factors which influenced the operational reliability of Air Conditioning (AC), aiming at the minimum difference of operational reliability of AC in similar regions, a multivariable high-dimensional clustering model of operational reliability on the basis of working environmental factors and user habit factors was establishe...
To research the influence of warranty period on business performance and to make the enterprise design a more scientific and reasonable warranty period, the interaction between maintenance strategy and enterprise business performance factors from two dimensions of technology and marketing was analyzed. By considering the continuous quality improvem...
With an aim to overcome low efficiency and improve the performance of fuzzy clustering, two novel fuzzy clustering algorithms based on improved self-adaptive cellular genetic algorithm (IDCGA) are proposed in this paper. The new dynamic crossover and entropy-based two-combination mutation operations are constructed to prevent the convergence of the...
Citations
... To the best of our knowledge, very few studies have focused on the correlation between use reliability and regional difference. In our previous work [45], [46], we constructed a multivariable high-dimensional clustering model of use reliability and utilized the improved clustering algorithm to solve the model, which is aimed at the minimum difference of use reliability in similar regions. We obtained optimal regional granularity partition results on use reliability. ...
... 'ese two methods have long been widely used in other fields. In order to overcome the low efficiency of fuzzy clustering and improve its performance, Jie et al. have proposed two fuzzy clustering algorithms based on an improved adaptive cytogenetic algorithm (GA) [6]. Dong et al. have proposed a fuzzy clustering method based on multiobjective GA [7]. ...
