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Related Concept Videos

Instrument Calibration01:12

Instrument Calibration

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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
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Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
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Accuracy and Precision01:52

Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
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Distance Corrections01:15

Distance Corrections

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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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Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
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Study on LT Accuracy Improvement by Calibration Based on Network Measurements.

Jesús Velázquez1,2, Javier Conte1, Ana Cristina Majarena1,2

  • 1Design and Manufacturing Engineering Department, University of Zaragoza, 50018 Zaragoza, Spain.

Sensors (Basel, Switzerland)
|November 27, 2021
PubMed
Summary
This summary is machine-generated.

This study presents an easy and fast laser tracker (LT) calibration method using network measurements without specialized equipment. The novel procedure enhances LT accuracy by up to 25%, making it accessible for users.

Keywords:
accuracycalibrationlaser trackernetwork measurementworking environment conditions

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Area of Science:

  • Metrology
  • Mechanical Engineering
  • Optical Measurement

Background:

  • Laser trackers (LT) are essential for machine calibration, yet their own calibration methods are not well-established.
  • Existing performance evaluation standards for LTs often necessitate specialized and costly equipment.
  • There is a need for accessible and efficient calibration procedures to improve LT accuracy.

Purpose of the Study:

  • To introduce a novel, user-friendly, and rapid calibration procedure for laser trackers (LTs).
  • To enhance the accuracy of LTs without relying on specialized calibration equipment.
  • To address the challenge of unknown nominal data for reflector setups in LT calibration.

Main Methods:

  • Utilized network measurements, capturing reflector positions from multiple LT viewpoints in a typical working environment.
  • Defined a measurement scenario focusing on error parameter dependencies on distance and angle to identify critical measurement positions.
  • Characterized the influence of laser beam incidence angle on reflector measurements, quantifying its error contribution.

Main Results:

  • Identified key error kinematic parameters and optimized an objective function for calibration without prior knowledge of reflector mesh data.
  • Quantified the impact of incidence angle on LT error, finding it can contribute up to 13 µm.
  • Validated the calibration procedure using a coordinate measuring machine, demonstrating an accuracy improvement of up to 25% for the LT.

Conclusions:

  • The proposed calibration method significantly improves laser tracker accuracy (up to 25%) without specialized equipment.
  • The technique is practical and can be implemented by LT users in standard working environments.
  • This research provides a valuable, accessible solution for enhancing the reliability of laser tracker measurements.