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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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Algorithmic error correction of impedance measuring sensors.

Oleg Starostenko1, Vicente Alarcon-Aquino, Wilmar Hernandez

  • 1Research Center CENTIA, Department of Computing, Electronics and Mechatronics, Universidad de las Américas, Puebla, 72820, México;

Sensors (Basel, Switzerland)
|February 4, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces new methods to improve the accuracy of low-cost impedance measurement devices without sacrificing speed. Algorithmic and iterative corrections linearize sensor functions, enhancing precision for applications like charge-coupled device manufacturing.

Keywords:
C-VG-V characteristic metererror correctionimpedance measuring sensor

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Area of Science:

  • Electrical Engineering
  • Measurement Science
  • Semiconductor Manufacturing

Background:

  • Low-cost impedance measuring devices often suffer from reduced accuracy or operational speed.
  • Accurate impedance measurements are critical for semiconductor manufacturing process control.
  • Existing methods may not adequately address linearization of sensor and converter transfer functions.

Purpose of the Study:

  • To present novel design concepts and advanced techniques for enhancing the accuracy of low-cost impedance measurement devices.
  • To achieve increased accuracy without compromising operational speed.
  • To validate proposed methods through practical implementation and testing.

Main Methods:

  • Algorithmic error correction for sensor linearization.
  • Iterative correction methods to linearize signal conditioning converters.
  • Development and implementation of a specialized C-V, G-V characteristic analysis system.

Main Results:

  • Demonstrated significant improvements in the accuracy of low-cost impedance measurement.
  • Successful linearization of transfer functions for sensors and converters was achieved.
  • The developed system effectively performed in-situ monitoring during charge-coupled device (CCD) manufacturing.

Conclusions:

  • The proposed algorithmic and iterative correction methods are effective for improving impedance measurement accuracy.
  • The developed measurement system is suitable for real-time process control in semiconductor fabrication.
  • The study defines the practical utility and performance range of the applied error correction techniques.