A Smart Measurement System With Improved Low-Frequency Response to Detect Moving Charged Debris

Addabbo, Tommaso; Fort, Ada; Mugnaini, Marco; Panzardi, Enza

doi:10.1109/tim.2016.2555118

Cited by 22 publications

(15 citation statements)

References 18 publications

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“…It is also noticeable that the feedback capacitor and resistor form a RC-high-pass filter [20], suggesting that the integrating behavior at low frequencies is suppressed by f R .…”

Section: B Induced Charge On the Electrodesmentioning

confidence: 99%

A Smart Electrostatic Sensor for Online Condition Monitoring of Power Transmission Belts

Shuai

Yan

et al. 2017

IEEE Trans. Ind. Electron.

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“…It is also noticeable that the feedback capacitor and resistor form a RC-high-pass filter [20], suggesting that the integrating behavior at low frequencies is suppressed by f R .…”

Section: B Induced Charge On the Electrodesmentioning

confidence: 99%

A Smart Electrostatic Sensor for Online Condition Monitoring of Power Transmission Belts

Shuai

Yan

et al. 2017

IEEE Trans. Ind. Electron.

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“…Addabbo Tommaso proposed a smart measurement system with improved low-frequency response to detect moving charged debris, to be used for turbomachinery condition monitoring. The postprocessing is based on the theoretical analysis of the physical experiment, assuming to use a first-order high-pass charge amplifier, with the introduction of a fitting model based on the linear combination of Gaussian functions [18]. In this article, the detailed time-domain analysis is mainly conducted to design the measurement system.…”

Section: Introductionmentioning

confidence: 99%

Research on Dynamic Test of Hyper-Velocity Impact Penetration Acceleration Signal

Zhang

Wei

et al. 2020

IEEE Access

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In recent years, with the development of hyper-velocity weapon, the research focus of penetration effect has switched gradually from high-velocity to hyper-velocity, with insufficient studies on penetration effect and its internal mechanism. Besides, the study on penetration effect of hyper-velocity weapon depends on the measurement of mechanical signal during penetration of projectile. In this paper, dynamic test of hyper-velocity impact penetration acceleration signal is studied in depth. Firstly, the penetration velocity and acceleration of projectile under the impact load are analyzed, the influence of the movement of the testing unit on the measured acceleration signal is studied, and the factors to be considered when measuring the hyper-velocity impact load are given. Further, this paper designs a measurement circuit and dynamic models of each measurement module, details the influence of dynamic characteristics of power delivery network on test accuracy, and provides a method to obtain dynamic characteristics of power delivery network by virtue of S parameter. Finally, to extract the real penetration overload signal, a superior noise reduction algorithm adopting Modified Ensemble Empirical Mode Decomposition (MEEMD) is proposed, taking dynamic uncertainty and degree of approximation as evaluation indicators, and the measured sensor data is analyzed and processed with the proposed superior noise reduction algorithm. The experiment results show that, this method has a better noise reduction effect, and can be adopted to effectively extract real penetration overload signal. The results have theoretical research and application value to evaluate the reasonableness and effectiveness of measurement method of hyper-velocity penetration overload signal, and seek for a superior processing method for the noisy penetration overload signal.

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“…Addabbo Tommaso propose a smart measurement system with improved low-frequency response to detect moving charged debris, to be used for turbomachinery condition monitoring. The postprocessing is based on the theoretical analysis of the physical experiment, assuming to use a firstorder high-pass charge amplifier, with the introduction of a fitting model based on the linear combination of Gaussian functions [13]. The time-domain analysis is conducted on measurement system in detail in this paper for designing the system.…”

Section: Introductionmentioning

confidence: 99%

Signal Measurement of Projectile Penetration Overload Based on Charge Sensor

Zhang

Wei

et al. 2019

IEEE Access

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In modern warfare, in order to destroy the target to largest extent, missile warhead is required to explode after penetrating inside the target, therefore, the measurement of mechanical signal during projectile penetration is critical. This paper studies the dynamic design principle of projectile penetration overload test system based on charge sensor, according to characteristics of steep front and a great number of contained installing structure impulse response, designs the measuring circuit based on charge sensor, conducts detailed theoretical deduction on dynamic model of sensor, charge-amplifier, filter and single conversion differential circuit, and provides theoretical basis for design. In order to more objectively evaluate the dynamic characteristics of this kind of test system, the dynamic uncertainty estimation of charge signal measured by this test system is considered as the standard for evaluating its dynamic characteristics, instead of unflatness of amplitude-frequency characteristic and its width in frequency domain, and the comprehensive evaluation on uncertainty of this test system is realized. In order to improve the measurement accuracy of dynamic test system designed, in this paper, an improved de-noising algorithm based on Ensemble Empirical Mode Decomposition (EEMD) is proposed, different low-pass filters are formed on the basis of Intrinsic Mode Function (IMF), de-noising effect of signal with noise is analyzed, and the evaluation indicators of dynamic uncertainty and approximation are established. Finally, the effectiveness of the designed method is verified through experiment.

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A Smart Measurement System With Improved Low-Frequency Response to Detect Moving Charged Debris

Cited by 22 publications

References 18 publications

A Smart Electrostatic Sensor for Online Condition Monitoring of Power Transmission Belts

A Smart Electrostatic Sensor for Online Condition Monitoring of Power Transmission Belts

Research on Dynamic Test of Hyper-Velocity Impact Penetration Acceleration Signal

Signal Measurement of Projectile Penetration Overload Based on Charge Sensor

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