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滚动轴承性能的双极模糊理论分析方法

Bipolar Fuzzy Logic Analysis Method of the Rolling Bearing
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摘要 针对目前滚动轴承性能分析评价研究一般仅局限于某一方面,不能全面反应设备系统性能问题,利用双极模糊数学理论,探讨了从技术性、功能设置、可靠性、维护性以及经济性五个方面来综合评判滚动轴承系统性能的方法和过程.分析过程给出的为双极模糊综合评判,具体分析时权重系数及模糊评判矩阵的确定应综合各方面意见.实际应用表明,将双极模糊理论评判用于滚动轴承的性能分析及评价是可行的,同时根据分析评判结果,比传统单极特征的评判结果精确且效率较高,可为制定提高滚动轴承性能的技术措施提供依据. Performance analysis on rolling bearing is generally concerned about certain aspect and can't reveal the problems of the whole unit entirely. So by bipolar fuzzy logic theory,The method and process to analyze rolling bearing performance comprehensively have been discussed from the five aspects, which were technicality, function setting, reliability, maintainability and economical efficiency. The work was performed by bipolar fuzzy logic analysis,the weight and fury evaluation matrix should also be determined from all aspects. Practical applications indicated that it is feasible to analyze rolling bearing performance using bipolar fuzzy logic analysis method, and the result get from this method is more precisely than single pole method and have higher efficiency, then the measures to improve unit performance can be raised.
作者 陆振宇 黄现云 夏志巍 卢亚敏 LU Zhen-yu HUANG Xian-yun XIA Zhi-wei LU Ya-min(School of Electronic&Information Engineering, Nanjing University of Information Science and Technology. Nanjing 210044, China Jiangsu Collaborative Innovation Center and Atmospheric Environment and Equipment, Nanjing 210044 China)
出处 《数学的实践与认识》 北大核心 2017年第19期189-196,共8页 Mathematics in Practice and Theory
基金 国家自然科学基金(61473334) 国家自然科学基金(61104062) 江苏省高校优势学科建设工程项目基金
关键词 滚动轴承 双极模糊理论 性能分析 方法和过程 ,rolling bearing bipolar fuzzy logic theory performance analysis method andprocess
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  • 1彭安华,王智明.基于模糊综合评判选择滚动轴承的类型[J].轴承,2006(5):4-5. 被引量:5
  • 2任腊春,张礼达.模糊理论在风力发电机组故障诊断中的应用[J].能源技术,2006,27(5):210-212. 被引量:14
  • 3彭斌,刘振全.基于改进小波神经网络的旋转机械故障诊断[J].振动.测试与诊断,2007,27(1):32-35. 被引量:12
  • 4熊浩,孙才新,张昀,谭志红,代姚.电力变压器运行状态的灰色层次评估模型[J].电力系统自动化,2007,31(7):55-60. 被引量:85
  • 5Rabiner L R. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition [ C ]. Proceedings of the IEEE, 1989(2) :257 -285.
  • 6Chuan - Wei Ting, Kuo - Yuan Lee, Jen - Tzung Chien. Adaptive HMM Topology for Speech Recognition [ C ]. INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association, 2008 (9) : 1 237 - 1 240.
  • 7Lei Y G, He Z J, Zi Y Y. Application of an intelligent classification method to mechanical fault diagnosis J ]. Expert Systems with Applications, 2009, 36 (6) : 9941 - 9948.
  • 8Ming D, Zhang Y, Li Y, et al. Fauh diagnosis model for power transformers based on information fusion [ J ]. Meas. Sci. Technol, 2005,16 (7) : 1517 - 1524.
  • 9Mesch F. Diagnosis in process control by signal and information fusion of field instruments [ J ]. Elektrotechnik und Informa-Tionstechnik,2009,26 (5) : 158 - 163.
  • 10Law M H C, Jain A K. Incremental nonlinear dimensionality reduction by manifold learning [ J ]. IEEE Transactions on Patiem Analysis and Machine Intelligence, 2006, 28 ( 3 ) : 377 - 391.

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