Abstract
The quality of the products is one of the key factors for the enterprises to increase their core competitiveness. In order to resolve the problems that the quality diagnosis with respect to manufacturing process is not effective or the low efficiency in the large equipment manufacturing enterprises, we propose a quality diagnosis approach based on the similarity of product quality gene. First, we use a product quality gene model to calculate the similarity between the organisms and the products. Second, a kind of quality gene codes is adopted to describe the complex quality information for manufacturing process. Then, string and grey relation similarity are used to evaluate whether the quality is normal or not by considering the similarity between the detected product quality gene and the case genes. Finally, we use the rotary kiln bearing body as an example to illustrate the proposed algorithm process. Experimental results have shown that the proposed approach is able to support quality diagnosis.
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Sun, L., Guo, S., Tao, S. et al. A quality diagnosis method for the large equipments base on quality gene similarity. Int J Adv Manuf Technol 69, 2173–2182 (2013). https://doi.org/10.1007/s00170-013-5176-6
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DOI: https://doi.org/10.1007/s00170-013-5176-6