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

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

769
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
769
Biasing of FET01:22

Biasing of FET

340
Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
In an N-channel JFET, the structure consists of N-type material forming the channel on a P-type substrate, with the...
340
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

591
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
591
Fault Types01:18

Fault Types

116
When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
For line-to-line faults occurring between phases B and C, the...
116
Behrens–Fisher Test00:57

Behrens–Fisher Test

123
The Behrens-Fisher test is a statistical method designed to address the Behrens-Fisher problem, which arises when comparing the means of two normally distributed populations with unequal variances. Unlike the Student's t-test, which assumes equal variances, the Behrens-Fisher test allows for mean comparison without this restrictive assumption. This flexibility makes it particularly valuable in scenarios where two independent samples exhibit normality but lack variance homogeneity.
This test...
123
Load-frequency control01:28

Load-frequency control

226
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
226

You might also read

Related Articles

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

Sort by
Same author

A comprehensive collection of systems biology data characterizing the host response to viral infection.

Scientific data·2015
Same author

7.6  W 1342  nm passively mode-locked picosecond composite Nd:YVO4/YVO4 laser with a semiconductor saturable absorber mirror.

Applied optics·2015
Same author

Millijoule-level picosecond mid-infrared optical parametric amplifier based on MgO-doped periodically poled lithium niobate.

Applied optics·2015
Same author

Structural basis of non-steroidal anti-inflammatory drug diclofenac binding to human serum albumin.

Chemical biology & drug design·2015
Same author

Involvement of cAMP-PKA pathway in adenosine A1 and A2A receptor-mediated regulation of acetaldehyde-induced activation of HSCs.

Biochimie·2015
Same author

Synergistic degradation of chitosan by impinging stream and jet cavitation.

Ultrasonics sonochemistry·2015

Related Experiment Video

Updated: Aug 15, 2025

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
09:49

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing

Published on: July 5, 2019

9.6K

An efficient fault-tolerant distributed Bayesian filter based on conservative fusion.

Litao Zheng1, Feng Yang1, Lihong Shi1

  • 1School of Automation, Northwestern Polytechnical University, Xi'an, 710129, China; Key Laboratory of Information Fusion Technology, Ministry of Education, Xi'an, 710129, China.

ISA Transactions
|January 5, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a fault-tolerant distributed Bayesian filter for robust multi-sensor state estimation. It effectively handles corrupted data in peer-to-peer networks using Gaussian mixtures and novel fusion techniques.

Keywords:
Average fusionBayesian filterDistributed floodingDistributed state estimationFault-tolerant

More Related Videos

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.7K
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.2K

Related Experiment Videos

Last Updated: Aug 15, 2025

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
09:49

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing

Published on: July 5, 2019

9.6K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.7K
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.2K

Area of Science:

  • Robotics
  • Distributed Systems
  • Signal Processing

Background:

  • Multi-sensor state estimation is crucial for autonomous systems.
  • Incoherent local estimates and sensor failures pose significant challenges.
  • Existing methods struggle with heterogeneous networks and corrupted data.

Purpose of the Study:

  • To develop a fault-tolerant distributed Bayesian filter for robust multi-sensor state estimation.
  • To address challenges posed by incoherent local estimates and heterogeneous sensor networks.
  • To improve the accuracy and reliability of state estimation in dynamic environments.

Main Methods:

  • A distributed Bayesian filter utilizing Gaussian mixture models for state representation.
  • Novel arithmetic average fusion with covariance-dependent weighting for heterogeneous sensors.
  • A partial flooding scheme for efficient inter-sensor communication of Gaussian components.

Main Results:

  • The proposed filter effectively reduces the impact of corrupted local estimates using Gaussian mixtures.
  • Fusion error covariance is significantly reduced in heterogeneous networks.
  • Theoretical analysis guarantees local stability and exponentially bounded estimation error.

Conclusions:

  • The developed fault-tolerant distributed Bayesian filter offers superior performance in multi-sensor state estimation.
  • The approach is validated through simulations and real-world experiments.
  • This work advances robust state estimation in challenging networked sensor environments.