The function of signal pre-processing includes signal transformation, 的简体中文翻译

The function of signal pre-processi

The function of signal pre-processing includes signal transformation, active filtering, signal calibration and so on. Its performance directly affects the accuracy and validity of the measured signal. the specific circuit structure is shown in figure 3. since the vibration between the low-frequency vibrations defined in this paper is 0.15 and 10 Hz, the interference above 50 Hz can be filtered through high-order low-pass filters, but considering that low-frequency vibration sensors usually have low sensitivity and weak output signals, if some special measures are not taken, the absolute low-frequency vibration signals are easily submerged so that the circuit noise is submerged, and special attention has been paid to the design of the test method. although there are many factors that affect the performance of signal detection and processing circuits, the main factors affecting low frequency signals are temperature drift. the circuit noise and the temperature drift and random interference of various random interference active circuits have obvious time-varying characteristics, which leads to the lie of actual detection of output signals. Therefore, this paper presents a simple and effective method to detect the parameters of low frequency absolute vibration signals.
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结果 (简体中文) 1: [复制]
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The function of signal pre-processing includes signal transformation, active filtering, signal calibration and so on. Its performance directly affects the accuracy and validity of the measured signal. the specific circuit structure is shown in figure 3. since the vibration between the low-frequency vibrations defined in this paper is 0.15 and 10 Hz, the interference above 50 Hz can be filtered through high-order low-pass filters, but considering that low-frequency vibration sensors usually have low sensitivity and weak output signals, if some special measures are not taken, the absolute low-frequency vibration signals are easily submerged so that the circuit noise is submerged, and special attention has been paid to the design of the test method. although there are many factors that affect the performance of signal detection and processing circuits, the main factors affecting low frequency signals are temperature drift. the circuit noise and the temperature drift and random interference of various random interference active circuits have obvious time-varying characteristics, which leads to the lie of actual detection of output signals. Therefore, this paper presents a simple and effective method to detect the parameters of low frequency absolute vibration signals.
正在翻译中..
结果 (简体中文) 2:[复制]
复制成功!
信号预处理功能包括信号转换、主动滤波、信号校准等。其性能直接影响测量信号的精度和有效性。具体电路结构如图3所示。由于本文所定义的低频振动之间的振动为0.15和10 Hz,50 Hz以上的干扰可以通过高阶低通滤波器进行过滤,但考虑到低频振动传感器通常具有低灵敏度和弱输出信号,如果不采取一些特殊措施,绝对低频振动信号很容易淹没,使电路噪声被淹没。,并特别注意测试方法的设计。虽然影响信号检测和处理电路性能的因素很多,但影响低频信号的主要因素是温度漂移。各种随机干扰有源电路的电路噪声和温度漂移和随机干扰具有明显的时变特性,导致输出信号实际检测的谎言。因此,本文提出了一种简单有效的方法来检测低频绝对振动信号的参数。
正在翻译中..
结果 (简体中文) 3:[复制]
复制成功!
信号预处理功能包括信号变换、有源滤波、信号校正等。它的性能直接影响到被测信号的准确性和有效性。具体电路结构如图3所示。由于本文定义的低频振动之间的振动范围为0.15~10hz,因此可以通过高阶低通滤波器滤除50hz以上的干扰,但考虑到低频振动传感器通常灵敏度低,输出信号弱,如果不采取特殊措施,绝对低频振动信号容易被淹没,从而使电路噪声被淹没,测试方法的设计也受到了特别的重视。虽然影响信号检测和处理电路性能的因素很多,但影响低频信号的主要因素是温度漂移。电路噪声以及各种随机干扰有源电路的温度漂移和随机干扰具有明显的时变特性,这就导致了实际输出信号检测的谎言。因此,本文提出了一种简单有效的低频绝对振动信号参数检测方法。<br>
正在翻译中..
 
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