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Capacitor discharge measurement error analysis

Partial Discharges Measurements f or Condition Monitoring and

using a PD instrument connected to a measuring impedance ZM through the PD pulses will cross. There are standards that establish apparent charge limits for evaluating the equipment

Application of extension neural network algorithm and chaos

This study implemented partial discharge detection for power capacitors with three fault types, insulating oil anomalies, casing wear, and sleeves with impurities. The chaos scatter diagram was derived from the measured data using the chaos synchronization detection method, and the chaos eyes coordinate values were used as the features of fault

Detecting measurement error drifts of a capacitor voltage

In this paper, an innovative approach is proposed to detect the measurement error drift of CVTs connected to the same phase. Through principal component analysis, both

Online measurement of capacitor voltage transformer metering

In this paper, we innovatively use this method to construct a CVT error prediction model. By mining the coupling relationship between multiple prediction tasks as shared

DC Lab

Step 2: Measure the voltage across the capacitor over time after the switch is closed. Notice how it increases slowly over time rather than suddenly, as would be the case with a resistor. You can reset the capacitor back to a voltage of zero by shorting across its terminals with a piece of wire. The time constant (τ) of a resistor-capacitor circuit is calculated by taking the circuit

Self-detection method for measurement error of

An online detection method for capacitor voltage transformer

Uncalibrated capacitive voltage transformers (CVTs) may significantly degrade measurement accuracy, because of the undetected excessive measurement error (ME). In this article, an online detection method is proposed which combines multi-source heterogeneous data composed of CVT measurements, acceptance test errors, and error limits.

Online Detection Method for Capacitor Voltage Transformer

To address the problem of insufficient real-time periodic calibration using standard transformers, this article proposes an online detection method for CVT measurement

Using Chaos Eye Method to Diagnose Power Capacitors

Abstract–This study focused on the measurement and diagnostic analysis of partial discharge in power capacitors operating under prolonged periods of high voltage. An off-line test was conducted on two power capacitors, which were subjected to

Thermocouple positioning through capacitive discharge for

Temperature measurement in welding constitutes relevant information for process understanding and simulation, as it can be used to validate and predict microstructure. Monitoring can be performed at specific points through transducers. The typical one is the thermocouple. In laser welding processes, due to the high energy concentration of the beam,

Hybrid methodology based on extension theory for partial discharge

Partial discharge data measurement and diagnostic analysis were mainly conducted on power capacitors operating at a low voltage for a long time.

Influencing Factor and Error Analysis of Operating Capacitor

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Research on Data-Driven Self-Diagnosis for Measurement Errors in

The experimental results show that the proposed method effectively identifies error fluctuations at 0.02% with a detection accuracy for the CVT amplitude error overshoot reaching 0.1%. The

Detecting measurement error drifts of a capacitor voltage

In this paper, an innovative approach is proposed to detect the measurement error drift of CVTs connected to the same phase. Through principal component analysis, both the ratio error drift and the phase displacement drift of the CVT can be detected on-line.

Hybrid methodology based on extension theory for partial

Partial discharge data measurement and diagnostic analysis were mainly conducted on power capacitors operating at a low voltage for a long time.

8.4: Transient Response of RC Circuits

Clearly, at (t = 90) milliseconds the capacitor is in the discharge phase. The capacitor''s voltage and current during the discharge phase follow the solid blue curve of Figure 8.4.2 . The elapsed time for discharge is 90 milliseconds minus 50 milliseconds, or 40 milliseconds net. We can use a slight variation on Equation ref{8.14} to find

Partial Discharges Measurements f or Condition Monitoring and

using a PD instrument connected to a measuring impedance ZM through the PD pulses will cross. There are standards that establish apparent charge limits for evaluating the equipment condition under tests made in the factory. However, resonances can provoke important errors estimating this parameter, so other parameters such as the number of PDs

Online measurement of capacitor voltage transformer metering errors

In this paper, we innovatively use this method to construct a CVT error prediction model. By mining the coupling relationship between multiple prediction tasks as shared information in the shared layer to get learning, collaborative optimization, coupling complementarity, and simultaneous output of six error prediction tasks are achieved.

RC Discharging Circuit Tutorial & RC Time Constant

As we saw in the previous tutorial, in a RC Discharging Circuit the time constant ( τ ) is still equal to the value of 63%.Then for a RC discharging circuit that is initially fully charged, the voltage across the capacitor after one time constant,

Online Detection Method for Capacitor Voltage Transformer Measurement

To address the problem of insufficient real-time periodic calibration using standard transformers, this article proposes an online detection method for CVT measurement error based on enhanced integrated principal component analysis (EIPCA).

Capacitor Discharge through a Resistor

This is the analysis of data for the experiment to determine an unknown capacitance. A capacitor discharges through a resistor (known resistance) and the po...

Measurement of capacities, charging and discharging of capacitors

21 Fig. 4: Course of discharge of a capacity. 2.2.2 Charging Let us now observe the charging of a capacitor with the capacitance C with the help of a real voltage source according to Fig. 5. The real voltage source can be considered an ideal voltage source G in series

Application of extension neural network algorithm and chaos

This study implemented partial discharge detection for power capacitors with three fault types, insulating oil anomalies, casing wear, and sleeves with impurities. The chaos

An online detection method for capacitor voltage transformer with

Uncalibrated capacitive voltage transformers (CVTs) may significantly degrade measurement accuracy, because of the undetected excessive measurement error (ME). In this

Research on Data-Driven Self-Diagnosis for Measurement Errors

The experimental results show that the proposed method effectively identifies error fluctuations at 0.02% with a detection accuracy for the CVT amplitude error overshoot reaching 0.1%. The method can accurately locate the faulty phases and direction of error deterioration in real time, realizing the demand for self-diagnosing for CVT

Partial Discharge Measurement

Partial Discharge Measurement Download book PDF To analyse the PD charge transfer, instead of realistic imperfections shown in Fig. 4.4 (Kreuger 1989), simple cavity shapes are commonly investigated, such as spherical, elliptical and cylindrical cavities. Generally, it can be distinguished between the (network-based) capacitive model and the dipole PD

Estimating thermal efficiency of a self-developed capacitor discharge

The capacitor discharge welding equipment is composed of three capacitors of 22 000 μ F resulting in a total capacitance of 66 000 μ F, which are subjected to a voltage of 40 V, so the total energy stored in the capacitor bank is 52.80 J. As this welding process necessitates a discharge up to 21 V, the residual energy in the capacitor bank can be calculated as 14.55 J.

Self-detection method for measurement error of capacitor

The measurement error of capacitor voltage transformers (CVTs) has poor stability under the complex environment of substations. Conventionally, error detection is

Using Chaos Eye Method to Diagnose Power Capacitors

Abstract–This study focused on the measurement and diagnostic analysis of partial discharge in power capacitors operating under prolonged periods of high voltage. An off-line test was

6.1.2: Capacitance and Capacitors

These devices are designed to measure the three common passive electrical components: resistors, capacitors and inductors 1. Unlike a simple digital multimeter, an LCR meter can also measure the values at various AC frequencies instead of just DC, and also determine secondary characteristics such as equivalent series resistance and effective parallel leakage resistance.

Capacitor discharge measurement error analysis [PDF]

6 FAQs about [Capacitor discharge measurement error analysis]

What is the measurement error of capacitor voltage Transformers (CVTs)?

The measurement error of capacitor voltage transformers (CVTs) has poor stability under the complex environment of substations. Conventionally, error detection is performed by regularly comparing the output of standard transformers, which lacks real-time performance. Moreover, CVTs are prone to operating in an out-of-tolerance state.

How accurate are capacitive voltage transformer metering errors?

The metering accuracy of capacitive voltage transformers (CVTs) affects the fairness of electricity settlement, and the online measurement of their metering errors has become a research hotspot. This error consists of amplitude and phase errors of three-phase voltages.

Do capacitor voltage transformers detect measurement error drift?

With the widespread application of capacitor voltage transformers (CVTs) in relaying, power system control and metering, detecting their measurement error drift has become an important and urgent task.

How to detect the measurement error drift of CVTs connected to the same phase?

Is online measurement error a hotspot in electric power research?

Its online measurement error is one of the research hotspots in the field of electric power. In this paper, by analyzing data characteristics and the coupling between data, an improved deep learning model based on GRU and MTL is proposed, and three strategies are used to improve the model structure.

How effective is the AM strategy in the three-phase CVT error measurement model?

The experimental results show that the AM strategy enhances the model's ability to learn key information about the three-phase CVT timing information and improves the measurement accuracy of the model, proving the effectiveness of the AM strategy in the three-phase CVT error measurement model. 4.3.3.