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介绍了基于分形技术对气固流化床起始流化速度估计及颗粒结块故障诊断方法进行的研究。采用R/S分析法从压力波动信号的时间序列中提取出反映信号自相似性的Hurst指数H值 ,研究了它从固定床向流态化转变过程中的变化并根据这种变化来估计起始流化速度 ,同时利用它对颗粒结块故障进行了研究。实验结果表明 ,信号的H值能较为明显地反映从固定床向流态化的转变 ,也对结块敏感 ,运用H值可望进行气固流化床起始流化速度的估计和结块故障的诊断
The fractal technique is introduced to study the initial fluidization velocity estimation of gas-solid fluidized bed and the method of particle agglomeration fault diagnosis. The Hurst exponent H, which reflects the self-similarity of the signal, was extracted from the time series of pressure fluctuation signal by R / S analysis. The change of Hurst index from fixed bed to fluidized state was studied and estimated from the change Initial fluidization rate, while using it to study the particle agglomeration failure. The experimental results show that the H value of the signal can reflect the transition from the fixed bed to the fluidized state more clearly and also to the agglomeration. The H value is expected to estimate the initial fluidization velocity of the fluidized bed and to agglomerate Fault diagnosis