The Product Types Choosing Based on Product Service Characteristics Table

Abstract:

In order to define the relationship between various product working conditions and product types choosing design, product types choosing method according to product service characteristics as design requirement is put forward. First product service characteristics table was defined，secondly product service characteristics vector as fuzzy neural network's input, product service records were employed to train fuzzy neural network, then the result of product types choosing was gained through synthesizing output of fuzzy neural network based on the power of each product service characteristics vector, finally the example of railway carriage bearing was adopt to explain above research approach.

• Periodical: Advanced Materials Research (Volume 721)
• Pages: 631-635
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.721.631
• Online since: July 2013
• Authors: Hu Hao, Yu Jun Lu, Ju Yin Qin, Ling Lin Liang, Lu Lin
• Keywords: Fuzzy Neural Network (FNN), Product Service Characteristics Table, Product Service Characteristics Vector, Product Types Choosing, Product Working Condition

References

[1] CAO Ru, Cooling Equipment Selection Based on Fuzzy Comprehensive Evaluation [J] Chemical Machinery, 2011, 38(1) :11-13

[2] LI Ling-ling , LIU Feng-guo, GUO Su-na, et al. Decision method for product type selection based on evidential theory [J] Journal of Engineering Design, 2006, 13(5): 281-285

[3] ZHOU M in-qiang, CHEN Shi-tang, ZHOU Ji, Wind turbine design and type selection on the basis of wind condition [J] Journal o f Mechanical& Electrical Engineering, 2011, 28(5): 610-615

[4] CAO Jie , YU Xiao-bing, ZHU Xiao-dong, Software selection for enterprises informatization [J] Computer Integrated Manufacturing Systems, 2011,17(6):1325-1333

[5] JIN De-shan，GUO Xue-yang，GUI Shao-bo, Turbo-generator unit selection of Sanliping Hydropower Station [J] Yangtze River, 2012,43(6): 76-78

[6] Huang Xi, Tang Ren-zhong, Ding ,Xiang-hai, ERP Selection for Manufacturing Enterprises [J] Transactions of the Chinese Society for Agricultural Machinery, 2008, 39(1), 134-137

[7] Wang Yong, Liu Houlin, Yuan Shouqi, et al. Experimental testing on cavitation vibration and noise of centrifugal pumps under off-design conditions[J]. Transactions of the CSAE, 2012, 28(2): 35－38.

DOI: 10.3850/978-981-07-2826-7_126

[8] Liu Dao-hua, Yuan Si-cong , Zhang Xiao-long et al. Research on knowledge acquisition method about the IF/THEN rules based on rough set theory [J] Journal of Systems Engineering and Electronics, 2008, 19(3):628-634

[9] GU Yu-kai, YANG Chu-guang, WANG Hua-qiang, Design of distillation column temperature controller based on fuzzy neural network classifier [J] JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY, 2012,35(1): 41-44

[10] L IU Kaiyun, Wei Bo, L IU Baoguo, Analysis model of slope deformation time series based on the genetic2adaptive neuron2fuzzy inference system [J] JOURNAL OF BEIJ INGJ IAOTONG UNIVERSITY ,2012,36(1):56-61

[11] BI Xiang, WANG Ke-fu1 , WEI Zhen-chun et al. Production rule modeling of DECS and structural error detection of rule [J] JOURNAL OF H EFEI UNIVERSITY OF TECH NOLOGY, 2011, 34(4): 489-492

[12] Li Ai-min, Wang Xin, Cooling rapidly device of speeding railway passenger train bearing forging [J] JOURNAL OF HARBIN BEARING, 2010, 31(4):4-6