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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K
Linear time-invariant Systems01:23

Linear time-invariant Systems

839
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
839
Fault Types01:18

Fault Types

386
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...
386
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

472
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
472
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

705
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
705
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

314
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
314

You might also read

Related Articles

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

Sort by
Same author

Biological significance, molecular mechanisms and clinical potential of EI24 in cancer.

Chinese medical journal·2025
Same author

Construction of a Heterotrophic Nitrification-Aerobic Denitrification Composite Microbial Consortium and Its Bioaugmentation Role in Wastewater Treatment.

Biology·2025
Same author

TPI1 enhances gemcitabine resistance in bladder cancer by promoting autophagy through activating Beclin-1.

Cell death & disease·2025
Same author

Targeting PSMB5-induced PANoptosis in bladder cancer: multi-omics insights and TCM candidate discovery.

Frontiers in immunology·2025
Same author

Dihydro-R demonstrates innate immunity against Adenovirus-7 by suppressing the NF-κB/JAK-STAT pathway in a SIRT1-dependent manner.

Biochemistry and biophysics reports·2025
Same author

Unlocking Spondin-1 and Spondin-2 as Ultrasound-Responsive Biomarkers in Epidermal Growth Factor Receptor-Mutant Non-Small-Cell Lung Cancer: Diagnostic and Therapeutic Perspectives.

Cancer biotherapy & radiopharmaceuticals·2025

Related Experiment Video

Updated: Jan 7, 2026

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

2.1K

A distributed alternating optimization approach to canonical correlation analysis based fault detection for dynamic

Chenyang Wang1, Zhenjin Zhao1, Linlin Li2

  • 1School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

ISA Transactions
|December 27, 2025
PubMed
Summary

This study introduces a novel distributed fault detection method using canonical correlation analysis (CCA) to reduce noise and improve efficiency in dynamic processes. The approach enhances system reliability by leveraging subsystem information for accurate fault identification.

Keywords:
Alternating optimizationCCAConsensus algorithmFault detection

More Related Videos

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.1K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.5K

Related Experiment Videos

Last Updated: Jan 7, 2026

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

2.1K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.1K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.5K

Area of Science:

  • Control Engineering
  • Signal Processing
  • Industrial Automation

Background:

  • Dynamic processes in industrial settings are susceptible to faults, necessitating robust detection methods.
  • Measurement noise introduces uncertainties, complicating accurate fault diagnosis.
  • Existing centralized fault detection methods can suffer from high communication costs and computational burdens.

Purpose of the Study:

  • To propose a data-driven distributed alternating optimization approach for optimal fault detection in dynamic processes.
  • To reduce uncertainties caused by measurement noise by utilizing relevant information from neighboring subsystems.
  • To improve computational efficiency and reduce communication costs compared to centralized methods.

Main Methods:

  • Canonical Correlation Analysis (CCA) is employed as the core analytical tool.
  • An average consensus algorithm is integrated into an alternating optimization framework to compute CCA parameters.
  • A distributed residual generator is constructed based on the computed CCA parameters for fault detection.

Main Results:

  • The proposed distributed approach effectively reduces uncertainties from measurement noise.
  • Simultaneous parameter updates across subsystems are achieved via the average consensus algorithm.
  • Case studies on the hot rolling mill and Tennessee Eastman processes validate the method's effectiveness.

Conclusions:

  • The developed distributed alternating optimization approach offers an efficient and effective solution for fault detection in dynamic processes.
  • The method demonstrates superior performance in terms of reduced communication overhead and enhanced computational efficiency over centralized techniques.
  • This approach provides a valuable tool for improving the reliability and safety of industrial systems.