摘要
为预测和判断锅炉故障的发生,完善锅炉故障检测技术,基于锅炉运转具有非线性特点,提出将非线性评价指标应用于锅炉故障诊断。研究特征信号的非线性特性,通过确定延迟时间和嵌入维数来重构相空间;采用混沌分形理论研究非线性评价指标;提取最大Lyapunov指数和关联维数,并为收集的每种特征信号选择最合适的非线性指标。结果表明:蒸汽压力的非线性特征指标应选择关联维数,烟气温度1、烟气温度2、水管温度1和水管温度2的非线性特征指标应当选择最大Lyapunov指数。
In order to predict and judge the occurrence of boiler fault and improve the detection technology of boiler fault,based on the nonlinear characteristics of boiler operation,the nonlinear evaluation indexes were applied in the boiler fault diagnosis.Firstly,the nonlinear characteristics of the characteristic signals were studied,and the phase space was reconstructed by determining the delay time and embedding dimension.Secondly,the nonlinear evaluation indexes were studied by using the chaotic fractal theory.Finally,the maximum Lyapunov exponent and correlation dimension were extracted,and the most appropriate nonlinear index was selected for each characteristic signal collected.The results showed that the correlation dimension should be selected as the nonlinear characteristic index of steam pressure,and the maximum Lyapunov exponent should be selected as the nonlinear characteristic index of flue gas temperature 1,flue gas temperature 2,water pipe temperature 1 and water pipe temperature 2.
作者
潘伟
徐刚
熊方杰
PAN Wei;XU Gang;XIONG Fangjie(School of Resources and Safety Engineering,Central South University,Changsha Hunan 410083,China)
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2020年第12期176-182,共7页
Journal of Safety Science and Technology
基金
国家自然科学基金重点项目(51534008)。
