基于非线性冗余算法的凝汽器状态评价
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摘要
凝汽器状态评价指标是具有不同量纲的特征参数,为避免对具有不同量纲的特征空间实施无量纲化变换造成的信息失真,隶属度转换模式成为凝汽器状态评价的基本模式.由于特征参数状态渐变连续,所以表征参数状态的指标隶属度是模糊隶属度.模糊隶属度表征模糊状态,模糊隶属度转换实现模糊状态转换.用冗余理论界定模糊隶属度转换的非线性,用非线性去冗算法实现模糊隶属度转换并建立凝汽器状态评价的非线性评价模型.
The evaluation indicators of status of condenser are characteristic parameters with different dimensions.In order to avoid information distortion caused by nondimensionalization transformation on characteristic spaces with different dimensions,membership conversion model becomes basic model for evaluation on status of condenser.As the gradient of status of characteristic parameters is continuous,the index membership to represent the status of parameters is fuzzy membership.The fuzzy membership represents fuzzy status and the fuzzy membership conversion achieves conversion of fuzzy status.The paper uses redundant theory to define the nonlinear of fuzzy membership conversion,achieves fuzzy membership conversion in the methods of nonlinear redundant algorithm and constructs nonlinear model for evaluation on status of condenser.
The evaluation indicators of status of condenser are characteristic parameters with different dimensions.In order to avoid information distortion caused by nondimensionalization transformation on characteristic spaces with different dimensions,membership conversion model becomes basic model for evaluation on status of condenser.As the gradient of status of characteristic parameters is continuous,the index membership to represent the status of parameters is fuzzy membership.The fuzzy membership represents fuzzy status and the fuzzy membership conversion achieves conversion of fuzzy status.The paper uses redundant theory to define the nonlinear of fuzzy membership conversion,achieves fuzzy membership conversion in the methods of nonlinear redundant algorithm and constructs nonlinear model for evaluation on status of condenser.
引文
[1]顾煜炯,董玉亮,杨昆.基于模糊评判和RCM分析的发电设备状态综合评价[J].中国电机工程学报,2004,24(6):189-194
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[4]马博,董海鹰,任伟.基于模糊综合支持向量机的特压变电站二次设备状态评估[J].计算机系统应用,2014,23(9):191-197
[5]周东华,叶银忠.现代故障诊断与容错控制[M].北京:清华大学出版社,2000
[6]刘开第,张新,刘昕,庞彦军,金斓.水质评价中的冗余定理与去余算法[J].数学的实践与认识,2015,45(3):89-99
[7]秦寿康著.综合评价原理与应用[M].北京:电子工业出版社,2003
[8]程乾生.属性识别理论模型及其应用[J].北京大学学报(自然科学版),1997,33(1):12-20
[2]周卫庆,徐沿皋,司风琪.基于灰色关联分析的电站设备状态评价方法[J].华东电力,2009,37(3):460.463
[3]卢旭祥,李录平.基于模糊综合评判的凝汽器允许状态评价[J].汽轮机技术,2001,43(5):301-303,316
[4]马博,董海鹰,任伟.基于模糊综合支持向量机的特压变电站二次设备状态评估[J].计算机系统应用,2014,23(9):191-197
[5]周东华,叶银忠.现代故障诊断与容错控制[M].北京:清华大学出版社,2000
[6]刘开第,张新,刘昕,庞彦军,金斓.水质评价中的冗余定理与去余算法[J].数学的实践与认识,2015,45(3):89-99
[7]秦寿康著.综合评价原理与应用[M].北京:电子工业出版社,2003
[8]程乾生.属性识别理论模型及其应用[J].北京大学学报(自然科学版),1997,33(1):12-20