Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

8.5K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
8.5K
Errors in Taping01:18

Errors in Taping

290
Errors in taping arise from multiple factors that can significantly impact measurement accuracy in surveying. Misalignment of the tape, often due to human error, is one primary source. A skilled rear tapeman, using a telescope, can help correct alignment by guiding the head tapeman; however, human limitations still lead to small inaccuracies. These errors may include misplacement of pins or inaccurate tape readings due to common visual confusions, such as mistaking a six for a nine. Such...
290
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

99.3K
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. 
99.3K
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

9.4K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
9.4K
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

373
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...
373
Adjusting a Traverse01:12

Adjusting a Traverse

343
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
343

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Effects of glucose and insulin on HepG2-C3A cell metabolism.

Biotechnology and bioengineering·2010
Same author

Overexpression of antioxidant enzymes upregulates aryl hydrocarbon receptor expression via increased Sp1 DNA-binding activity.

Free radical biology & medicine·2010
Same author

Impact of hepatitis C viral replication on CD4+ T-lymphocyte progression in HIV-HCV coinfection before and after antiretroviral therapy.

AIDS (London, England)·2010
Same author

[Expression and diagnostic significance of CD34 in brain tumors of patients with refractory epilepsy].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2010
Same author

Characterization of pore-expanded amino-functionalized mesoporous silicas directly synthesized with dimethyldecylamine and its application for decolorization of sulphonated azo dyes.

Journal of hazardous materials·2010
Same author

Human leukocyte antigen-G (HLA-G) expression in cervical lesions: association with cancer progression, HPV 16/18 infection, and host immune response.

Reproductive sciences (Thousand Oaks, Calif.)·2010

Video Experimental Relacionado

Updated: Jan 8, 2026

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

723

Método clave de identificación de errores geométricos para máquinas herramienta de ultraprecisión basado en análisis

Zengya Zhao, Ming Huang, Kai Xu

    Optics express
    |December 19, 2025
    PubMed
    Resumen

    Este estudio presenta el análisis de sensibilidad dependiente de la posición del error (EPDSA) para máquinas herramienta de ultraprecisión. EPDSA identifica con precisión los errores geométricos clave al considerar su naturaleza dependiente de la posición, mejorando la precisión del contorno y la calidad de la superficie.

    Palabras clave:
    análisis de sensibilidaderrores geométricosmáquinas herramienta de ultraprecisióncompensación de erroresprecisión de contornocalidad de superficie

    Más Videos Relacionados

    Picometer-Precision Atomic Position Tracking through Electron Microscopy
    15:04

    Picometer-Precision Atomic Position Tracking through Electron Microscopy

    Published on: July 3, 2021

    8.2K
    Measurement of Spatial Stability in Precision Grip
    09:36

    Measurement of Spatial Stability in Precision Grip

    Published on: June 4, 2020

    3.5K

    Videos de Experimentos Relacionados

    Last Updated: Jan 8, 2026

    Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
    07:58

    Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

    Published on: July 25, 2025

    723
    Picometer-Precision Atomic Position Tracking through Electron Microscopy
    15:04

    Picometer-Precision Atomic Position Tracking through Electron Microscopy

    Published on: July 3, 2021

    8.2K
    Measurement of Spatial Stability in Precision Grip
    09:36

    Measurement of Spatial Stability in Precision Grip

    Published on: June 4, 2020

    3.5K

    Área de la Ciencia:

    • Ingeniería de Manufactura
    • Metrología
    • Ingeniería Óptica

    Sus antecedentes:

    • Los errores geométricos en las máquinas herramienta de ultraprecisión afectan críticamente la precisión de los componentes ópticos y la calidad de la superficie.
    • Las complejas fuentes de error y su propagación acoplada dificultan la identificación de errores.
    • Los métodos convencionales de análisis de sensibilidad (AS) a menudo pasan por alto las características de los errores dependientes de la posición.

    Objetivo del estudio:

    • Desarrollar un método novedoso para identificar errores geométricos clave en máquinas herramienta de ultraprecisión.
    • Abordar las limitaciones de los métodos convencionales de AS incorporando el análisis de errores dependiente de la posición.
    • Mejorar la precisión y fiabilidad de la identificación de errores para estrategias de compensación específicas.

    Principales métodos:

    • Se propuso un método de análisis de sensibilidad dependiente de la posición del error (EPDSA).
    • Se ajustaron dinámicamente los rangos de entrada de los errores geométricos en función de sus posiciones.
    • Se calcularon los índices de sensibilidad en todo el espacio de trabajo para capturar las variaciones espaciales.

    Principales resultados:

    • El EPDSA capturó eficazmente variaciones espaciales significativas en los índices de sensibilidad.
    • Identificó errores geométricos clave distintos en comparación con los métodos convencionales de AS.
    • La relación de error clave (KER) mostró que el EPDSA identificó errores que representan el 0,55 del error total, frente al 0,39 de los métodos convencionales.

    Conclusiones:

    • El EPDSA proporciona una evaluación de sensibilidad más precisa y fiable para máquinas herramienta de ultraprecisión.
    • El método ofrece una guía específica para estrategias de compensación de errores eficaces.
    • La mejora en la identificación de errores geométricos clave conduce a una mayor precisión del contorno y calidad de la superficie de los componentes ópticos.