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

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

153
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...
153
Differential Relays01:20

Differential Relays

259
Differential relays are used to protect generators, buses, and transformers by comparing electrical quantities at different points. When a fault occurs, the difference in current between the two points triggers the relay to operate, opening the circuit breaker. Under normal conditions, the current entering (i1) and leaving (i2) a generator are equal. When a fault occurs, however, these currents become unequal, and the difference current flows in the relay operating coil, causing the relay to...
259
Multimachine Stability01:25

Multimachine Stability

227
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
227
Otto and Diesel Cycle01:27

Otto and Diesel Cycle

2.1K
An Otto engine is a four-stroke engine that uses a mixture of gasoline and air as the working fuel. The fuel is injected into the cylinder, and the piston is moved completely down so that the cylinder is at maximum volume. By moving the piston up, adiabatic compression takes place. The spark plug ignites the gasoline-air mixture, and the burning fuel adds heat to the system at a constant volume. The heated mixture expands adiabatically and gets further cooled by exhausting heat, and this cyclic...
2.1K
Design Example: Automobile Ignition System01:14

Design Example: Automobile Ignition System

305
The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
305
Internal Combustion Engine01:20

Internal Combustion Engine

1.7K
The internal combustion engine is a heat engine that uses the byproducts of combustion as the working fluid instead of using a heat transfer medium to transfer heat. The combustion is done in a way that produces high-pressure combustion products that can be expanded through a turbine or piston to create work. Internal combustion engines can again be categorized into three kinds: (1) spark ignition gasoline engines, most commonly used in automobiles, (2) compression ignition diesel engines that...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Intestinal carbonate excretion of pelagic economic fish: Insights from a marine carbonate cycling perspective for fisheries research.

Marine environmental research·2026
Same author

A new extended belief rule base method based on neighborhood covering reduction for diabetes diagnosis.

PloS one·2026
Same author

A New Interval Belief Rule Base Model Based on Hybrid Optimization and Adaptive Reference Intervals for Diesel Engine Health State Assessment.

Sensors (Basel, Switzerland)·2026
Same author

A Dual-Source Evidence-Driven Semi-Supervised Belief Rule Base for Fault Diagnosis.

Sensors (Basel, Switzerland)·2026
Same author

Nurse-led management of sialorrhea in Parkinson's disease: a pilot randomized controlled trial.

Frontiers in medicine·2026
Same author

A Photovoltaic Power Prediction Method Based on Data-Driven Interval Construction Belief Rule Base.

Sensors (Basel, Switzerland)·2026

Related Experiment Video

Updated: Sep 9, 2025

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

1.8K

A Reliability Fault Diagnosis Method for Diesel Engines Based on the Belief Rule Base with Data-Driven

Huimin Guan1, Guanyu Hu2, Hongyao Du1

  • 1School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
Summary

This study introduces a data-driven fault diagnosis method for diesel engines, improving belief rule base (BRB) models with limited expert knowledge. The DI-BRB-R method enhances reliability and diagnostic accuracy in complex systems.

Keywords:
belief rule base (BRB)data-drivendiesel enginesfault diagnosis

More Related Videos

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.7K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K

Related Experiment Videos

Last Updated: Sep 9, 2025

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

1.8K
A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.7K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K

Area of Science:

  • Engineering
  • Computer Science
  • Artificial Intelligence

Background:

  • Diesel engines are vital for transportation and industry, but their fault diagnosis is challenging due to data limitations.
  • Belief Rule Base (BRB) models offer potential but rely heavily on expert knowledge, limiting their application.
  • Existing methods struggle with complex systems and insufficient data for accurate diesel engine fault diagnosis.

Purpose of the Study:

  • To propose a novel reliability fault diagnosis method for diesel engines.
  • To enhance the modeling capability of belief rule base (BRB) under limited expert knowledge conditions.
  • To develop a data-driven initialization approach for BRB models in diesel engine fault diagnosis.

Main Methods:

  • A data-driven initialization approach for BRB models (DI-BRB-R) is proposed.
  • Fuzzy c-means clustering with Davies-Bouldin index (DBI-FCM) initializes attribute reference values.
  • Gaussian membership function with Laplace smoothing (LS-GMF) initializes rule belief degrees, guided by reliability guidelines.

Main Results:

  • The proposed DI-BRB-R method effectively initializes BRB models using data, reducing reliance on expert knowledge.
  • The method demonstrates improved modeling capability and diagnostic accuracy for diesel engines.
  • Validation on the WD615 diesel engine confirms the effectiveness of the reliability fault diagnosis approach.

Conclusions:

  • The DI-BRB-R method offers a robust solution for diesel engine fault diagnosis, especially with limited expert input.
  • Data-driven initialization significantly enhances the practical applicability of BRB models in complex engineering diagnostics.
  • The study contributes a reliable and effective method for ensuring the operational safety and system reliability of diesel engines.