Accuracy improvement method of eddy current

The simulation results show that the proposed method is able to detect process faults more prompt and accurate than single MPCA model. Extraction of the best working range is not only applicable to eddy current sensors, but also for other sensors such as capacitive sensors, CCD laser measurement system.

The phase-based PCA is built in each phase to monitoring Penicillin fermentation process in order to verify performance of proposed method.

Steel materials 2 is used as a measurement object, the full range of eddy current sensor 0. Least squares fitting of the measured data obtains residual error which is shown in Fig. The accuracy is improved 2 times more than original sensor. This paper devises a vertical analysis model of fault data of running smart meter.

A Way to Improve Eddy Current Sensor Measurement Accuracy

While for the point of poor stability in multiple measurementsselect the maximum error value. As the main tool of electricity measurement and economic settlement, the smart meter directly related to the nation and peoples interests. The principle of the minority working Accuracy improvement method of eddy current is used to reduce the number of different mathematical models that accords with the condition, the data is contained in several intervals, in order to use the fewer mathematical models to improve the accuracy.

For ease of using, Calibration accuracy Commercial eddy current sensor are all using a linear function as the fitting function, this article also uses a linear function for error correction. Obviously, the "maximum ranges segment" is included in the interval paragraph of "minimum interval".

At this time, the number of interval is too large, and the interval model is different and it is against the demand of actual research. In order to overcome the shortcoming of PCA-based methods, a novel phase-division method based on dissimilarity index is proposed.

For a single displacement, the first data of the data acquisition card are averaged as the value corresponding to the eddy current sensor output voltage of the point. Then the best job interval is determined according to the given error range.

And so on, the mathematical modeling and the calculation error of all data points behind is completed. Firstly, select the high-precision measuring instruments as the reference standard to get calibration accuracy of eddy current sensor, the value of the voltage relatived to variable displacement is obtained.

In proposed division method, integral information of each time slice is used to divide phases.

The displacement interval [,] is choiced according to the principle of "maximum ranges segment"as shown in Table 4. The method and the result of the model can assess the quality of the batch of the smart meter, and can be beneficial to estimate the quality of factory.

This approach,with high stability, reliability, good practical significance and practical engineering value, is a useful complement to sensor measurement theory. The model firstly clean the useless data, then do the regress analysis, and get the fault data and changing rate of the fault of each batch, which are utilized to do the cluster to evaluate the stability of the quality of the factory.

Many different phased-based monitoring methods had been proposed. An important feature of batch process data is that many batch processes have multiple phases. According to the need, the optimal selection principle of "minimum interval" and "maximum ranges segment" is presented to determine the best working ranges.

The high stability of this method is demanded for the instrument,and the system error is the main source of error, otherwise it is difficult to obtain high-precision ranges of available segment. The key question of those methods is how to divide the phases of batch process.effects.

Generally, eddy-current effects are divided into skin effect and proximity effect. The classical definition of skin-effect loss is the extra AC loss in a single isolated conductor which is carrying a time-varying current.

And the correspond-ing definition of proximity-effect loss in a winding is defined as the total eddy-current loss minus the.

Many different phased-based monitoring methods had been proposed. The key question of those methods is how to divide the phases of batch process.

However, PCA-based methods of phase division that identify phases by extracting the first principal component of each time slice lead easily to high misclassification.

Improvement of the Eddy Current Method of Non-Destructive Testing with Pulsed Mode Excitation Oleksandr DUGIN 1, eddy current sensor to widen of functional capabilities of the eddy current non- accuracy of a informative signal decrement. It is determined that it is very impotent to.

Reduction of Electrical Runout to Improve the Accuracy of Eddy Current Probe Sensing of Turbomachinery Vibration The objective of the work reported in this paper is to reduce the effect of electrical runout in order to improve accuracy of eddy current probe sensing of turbomachinery vibration.

Application of Eddy Current Method for. On the basis of construction of a two-parameter nonlinear model of the inverse transformation function of the “eddy-current primary converter–tested object” system, we propose a method for measuring the specific electric conductivity of materials and the thicknesses of dielectric coatings of the shells.

Eddy current method is widely used in practice for quality testing of conducting materials (examples include determination of electrical conductivity, thickness of metal coatings, identification of flaws in a conducting medium).

Accuracy improvement method of eddy current
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