摘要
将动态信号处理与模糊数学方法结合起来,正是解决不确定性(随机性和模糊性)并精确认识事物的有效途径。本文介绍了如何对一些信号处理的结果进行转换而得到模糊隶属函数。用实例说明了运用由动态信号处理得到的模糊隶属函数,有效地解决了精密机床杂音质量检验、大型压缩机组和汽轮发电机组运行状态的识别和评价问题,更深刻地反映了事物的属性.
It is an effective approach to combine dynamic signal processing with fuzzy mathe. matics for recognizing fuzziness and stochastic uncertainty clearly. This paper shows how the membership functions are obtained from results of signal processing. By means of this approach, many problems are solved, such as inspection of fuzz noise quality of precise machine tool gearbox, identification and evaluation of running condition of large compressor and steam turbogenerator. the properties of machinery are revealed more crisply.
出处
《信号处理》
CSCD
北大核心
1991年第1期21-30,共10页
Journal of Signal Processing
基金
国家自然科学基金资助的项目
