抽样定理在周期性非连续信号的压电泵气穴现象中的应用方法

抽样时间间隔由抽样定理来决定.压电泵气穴现象所摄取的连续画像也应遵从该定理来抽取得到不连续的静止画像.可是,作为由振动形式驱动的压电泵,气穴现象只发生在吸入工程,了解其气穴现象统计特性时,如果按着抽样定理,在吐出工程的半周期,即使是不发生气穴现象也必须依次抽样.若利用这样的数据系统,数据的样本将过大,对其解析的时间性与经济性均不利.而且,在吐出工程的半周期,是与气穴无关系的信号.因此对于气穴现象数据系统,可以说是输入了错误情报信号.为此,开发了适用于压电泵气穴现象周期性非连续信号的抽样定理的方法;同时,利用这个方法,以有阀压电泵为例,调查了该泵的气穴现象特性之一的中心多发性,发现里利用新方法测得的中心多发几率高于原方法.

Sampling theorem to periodic non-continuous signal from cavitation of piezoelectric pump

A general means of data processing is a sampling method, in which continuous analog data are measured non-continuously at certain time intervals as digital data, and the median value is ignored. The sampling time intervals are determined by the sampling theorem. Since both valve and no-valve piezoelectric pumps are pumps driven in a vibration form, they send a periodic non-continuous signal to cavitation. The sampling theorem is not applicable to a non-continuous signal. For this reason, the authors developed a method to apply the cavitation in a pump driven in the piezoelectric vibration form as a periodic non- continuous signal. And a sampling system using this method was manufactured.