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

Open and closed-loop control systems01:17

Open and closed-loop control systems

1.9K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.9K
Control Systems01:10

Control Systems

1.6K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.6K
Control Systems: Applications01:25

Control Systems: Applications

1.2K
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
1.2K
Feedback control systems01:26

Feedback control systems

791
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
791
PID Controller01:19

PID Controller

1.0K
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
1.0K
PI Controller: Design01:24

PI Controller: Design

1.5K
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Impact on Glycemic Variation Caused by a Change in the Dietary Intake Sequence.

Foods (Basel, Switzerland)·2023
Same author

Dynamic of Glucose Homeostasis in Virtual Patients: A Comparison between Different Behaviors.

International journal of environmental research and public health·2022
Same author

Use of the Stockwell Transform in the Detection of P300 Evoked Potentials with Low-Cost Brain Sensors.

Sensors (Basel, Switzerland)·2018
Same author

Virtual estimator for piecewise linear systems based on observability analysis.

Sensors (Basel, Switzerland)·2013
Same author

Simplified interval observer scheme: a new approach for fault diagnosis in instruments.

Sensors (Basel, Switzerland)·2012

Related Experiment Video

Updated: Apr 21, 2026

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.9K

Monitoring and control interface based on virtual sensors.

Ricardo F Escobar1, Manuel Adam-Medina2, Carlos D García-Beltrán3

  • 1Centro Nacional de Investigación y Desarrollo Tecnológico, Tecnológico Nacional de México, Int. Internado Palmira S/N, Palmira, C.P. 62490 Cuernavaca, Morelos, Mexico. esjiri@cenidet.edu.mx.

Sensors (Basel, Switzerland)
|November 4, 2014
PubMed
Summary

A monitoring and control interface (MCI) enables sensor fault detection and tolerance in heat exchangers using virtual sensors. This system ensures continuous operation and enhances student learning of heat transfer and control principles.

More Related Videos

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.3K
Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
07:12

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers

Published on: December 12, 2025

352

Related Experiment Videos

Last Updated: Apr 21, 2026

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.9K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.3K
Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
07:12

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers

Published on: December 12, 2025

352

Area of Science:

  • Engineering
  • Control Systems
  • Heat Transfer

Background:

  • Heat exchangers are critical industrial components requiring robust monitoring and control.
  • Sensor failures can disrupt operation and compromise process efficiency.
  • Effective educational tools are needed to teach complex control concepts in engineering.

Purpose of the Study:

  • To present a monitoring and control interface (MCI) for heat exchanger applications.
  • To implement sensor fault detection, isolation, and fault tolerance using virtual sensors.
  • To provide an interactive educational tool for electronic engineering students.

Main Methods:

  • Development of a LabVIEW-based monitoring and control interface (MCI).
  • Design of virtual sensors using model-based high-gain observers for fault tolerance.
  • Integration of PID, MPC, and non-linear model-based control laws.
  • Implementation of a thermodynamic model for process simulation and student interaction.

Main Results:

  • The MCI successfully detected and isolated sensor faults, enabling fault-tolerant operation.
  • Virtual sensors maintained heat exchanger operation during simulated sensor failures.
  • The interface facilitated student learning of heat exchanger dynamics and control strategies.
  • Alarms were triggered upon outlet temperature sensor failure, ensuring operator awareness.

Conclusions:

  • The developed MCI is an effective tool for enhancing heat exchanger operation and reliability.
  • The system provides a practical platform for students to learn advanced control and heat transfer concepts.
  • Virtual sensors and integrated control laws offer a robust solution for sensor fault management.