针对行星齿轮箱故障信号的调制特点,提出基于自适应最稀疏时频分析(Adaptive and Sparsest TimeFrequency Analysis,ASTFA)和对称差分能量算子(Symmetric Difference Energy Operator,SDEO)相结合的解调方法,用于提取故障信号的瞬时幅...针对行星齿轮箱故障信号的调制特点,提出基于自适应最稀疏时频分析(Adaptive and Sparsest TimeFrequency Analysis,ASTFA)和对称差分能量算子(Symmetric Difference Energy Operator,SDEO)相结合的解调方法,用于提取故障信号的瞬时幅值和瞬时频率信息。采用ASTFA方法分解行星齿轮箱故障信号,得到若干个单分量信号,采用SDEO进行解调,得到各单分量信号的瞬时幅值和瞬时频率,并计算得到包络谱。采用该方法分析行星齿轮箱故障仿真信号和故障实际信号,结果表明,该方法能准确地提取故障特征,实现行星齿轮箱故障诊断。展开更多
Transformation of mineral matter is important for coal utilization at high temperatures.This is especially true for blended coal.XRD and FTIR were employed together to study the transformation of mineral matter at hig...Transformation of mineral matter is important for coal utilization at high temperatures.This is especially true for blended coal.XRD and FTIR were employed together to study the transformation of mineral matter at high temperature in blended coals.It was found that the concentration of catalytic minerals, namely iron oxides, increases with an increasing ratio of Shenfu coal, which could improve coal gasification.The transformation characteristics of the minerals in blended coals are not exactly predictable from the blend ratio.This was proved by comparing the iron oxide content to the blending ratio.The results from FTIR are comparable with those from XRD.FTIR is an effective method for examining variation in mineral matter.展开更多
文摘针对行星齿轮箱故障信号的调制特点,提出基于自适应最稀疏时频分析(Adaptive and Sparsest TimeFrequency Analysis,ASTFA)和对称差分能量算子(Symmetric Difference Energy Operator,SDEO)相结合的解调方法,用于提取故障信号的瞬时幅值和瞬时频率信息。采用ASTFA方法分解行星齿轮箱故障信号,得到若干个单分量信号,采用SDEO进行解调,得到各单分量信号的瞬时幅值和瞬时频率,并计算得到包络谱。采用该方法分析行星齿轮箱故障仿真信号和故障实际信号,结果表明,该方法能准确地提取故障特征,实现行星齿轮箱故障诊断。
基金Projects 2005CB217701-03 supported by the National Basic Research Program of China2005DFA60220 by the Ministry of Science and Technology of China
文摘Transformation of mineral matter is important for coal utilization at high temperatures.This is especially true for blended coal.XRD and FTIR were employed together to study the transformation of mineral matter at high temperature in blended coals.It was found that the concentration of catalytic minerals, namely iron oxides, increases with an increasing ratio of Shenfu coal, which could improve coal gasification.The transformation characteristics of the minerals in blended coals are not exactly predictable from the blend ratio.This was proved by comparing the iron oxide content to the blending ratio.The results from FTIR are comparable with those from XRD.FTIR is an effective method for examining variation in mineral matter.