Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Sampling Plans01:23

Sampling Plans

814
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
814
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

1000
In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
1000

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Occlusion-Aware Trajectory Discontinuity Correction for Roadside LiDAR Using Time-Space Analysis.

Sensors (Basel, Switzerland)·2026
Same author

A Hidden "Promoter": <i>Schistosoma japonicum</i> soluble egg antigen activates MAPK/PI3K-AKT pathways and inhibits autophagy to facilitate colorectal cancer.

Infection and immunity·2026
Same author

NAT10 promotes the activation of hepatic stellate cells by modulating the TGF-β1-ac4C-COL1A1 axis.

Hepatology international·2026
Same author

WASH regulates B cell signaling, metabolism and function through STAT1.

Cell death and differentiation·2025
Same author

AIM2 positively regulates B cell activation and function through the SNX9-PI3K-WASP axis.

Cell death and differentiation·2025
Same author

Ivermectin attenuates <i>Schistosoma japonicum</i>-induced liver fibrosis and is associated with downregulation of YAP signaling.

Frontiers in cellular and infection microbiology·2025

Related Experiment Video

Updated: Dec 25, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.3K

A Comprehensive Evaluation Method of Sensor Selection for PHM Based on Grey Clustering.

Fei Guan1,2, Wei-Wei Cui1, Lian-Feng Li1

  • 1China Academy of Launch Vehicle Technology, Beijing 100076, China.

Sensors (Basel, Switzerland)
|March 25, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new grey clustering method for sensor selection in prognostics and health management (PHM). This approach provides a standardized evaluation, improving sensor layout and diagnostic accuracy.

Keywords:
PHMdependency matrixgrey clusteringsensor selection and evaluationwhitening weight function

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.7K
Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons
09:21

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons

Published on: July 7, 2023

1.9K

Related Experiment Videos

Last Updated: Dec 25, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.3K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.7K
Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons
09:21

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons

Published on: July 7, 2023

1.9K

Area of Science:

  • Engineering
  • Computer Science

Background:

  • Sensor selection is critical for prognostics and health management (PHM) but lacks standardized evaluation methods.
  • Current methods yield inconsistent results, hindering effective sensor deployment and analysis.

Purpose of the Study:

  • To propose a comprehensive evaluation method for sensor selection in PHM using grey clustering.
  • To establish a standardized approach for evaluating and selecting sensors to improve diagnostic and prognostic capabilities.

Main Methods:

  • Developed a grey clustering approach to categorize sensors into three grey classes.
  • Defined and quantified grey indexes using a dependency matrix and incorporated a combination weight for objective data and subjective input.
  • Utilized grey clustering theory to analyze the clustering coefficient for sensor evaluation.

Main Results:

  • The proposed method provides a convincing analysis for evaluating sensor selection results.
  • Demonstrated effectiveness in an electronic control system, showing improved precision for sensor adjustment.
  • The technique offers a reliable way to evaluate and optimize sensor selection for PHM applications.

Conclusions:

  • The grey clustering-based method offers a standardized and effective approach to sensor selection in PHM.
  • This technique aids in sensor layout optimization and enhances the precision of health assessment and life prediction.
  • The approach is broadly applicable for sensor selection and evaluation within the PHM domain.