Results 11 to 20 of about 383 (144)

Fault Detection and Isolation of a Pressurized Water Reactor Based on Neural Network and K-Nearest Neighbor

open access: yesIEEE Access, 2022
Nuclear power plants (NPPs) are complex dynamic systems with multiple sensors and actuators. The presence of faults in the actuators and sensors can deteriorate the system’s performance and cause serious safety issues.
Amine Naimi   +3 more
doaj   +1 more source

Integrated Fault–Tolerant Control of a Quadcopter UAV with Incipient Actuator Faults

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2022
An integrated approach to the fault-tolerant control (FTC) of a quadcopter unmanned aerial vehicle (UAV) with incipient actuator faults is presented.
Kantue Paulin, Pedro Jimoh O.
doaj   +1 more source

An integrated methodology for fault detection, root cause diagnosis, and propagation pathway analysis in chemical process systems

open access: yesCleaner Engineering and Technology, 2021
Although the current research on fault detection and diagnosis (FDD) has made significant developments, there exists some challenges such as earlier fault detection with lower false alarms, accurate fault diagnosis without prior fault information, and ...
Md. Tanjin Amin
doaj   +1 more source

Unknown input observer design for fault detection and diagnosis in a continuous stirred-tank reactor [PDF]

open access: yesE3S Web of Conferences, 2019
Early and accurate fault detection and diagnosis (FDD) minimises downtime, increases the safety and reliability of plant operation, and reduces manufacturing costs.
Al-Shatri Ali H.   +3 more
doaj   +1 more source

Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles

open access: yesMachines, 2023
Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and reliability of electric vehicles (EVs). The EV’s power train and energy storage, namely the electric motor drive and battery system, are critical components that are ...
Mohammad Zamani Khaneghah   +2 more
doaj   +1 more source

Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review

open access: yesIEEE Access, 2019
In the age of industry 4.0, deep learning has attracted increasing interest for various research applications. In recent years, deep learning models have been extensively implemented in machinery fault detection and diagnosis (FDD) systems.
Syahril Ramadhan Saufi   +3 more
doaj   +1 more source

Data-Driven Fault Detection and Diagnosis: Research and Applications for HVAC Systems in Buildings

open access: yesEnergies, 2023
The main goal of Fault Detection and Diagnosis (FDD) processes is to identify faults, determine their sources, and recognize solutions before the system is further harmed or service is lost [...]
Antonio Rosato   +2 more
doaj   +1 more source

Detection and Identification of Loss of Efficiency Faults of Flight Actuators

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2015
We propose linear parameter-varying (LPV) model-based approaches to the synthesis of robust fault detection and diagnosis (FDD) systems for loss of efficiency (LOE) faults of flight actuators.
Ossmann Daniel, Varga Andreas
doaj   +1 more source

Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

open access: yesInternational Journal of Photoenergy, 2019
The environmentally clean nature of solar photovoltaic (PV) technology causes PV power generation to be embraced by all countries across the globe. Consequently, installation and utilization of PV power systems have seen much growth in recent years ...
Albert Yaw Appiah   +3 more
doaj   +1 more source

Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery

open access: yesMachines, 2022
Fault diagnosis plays an essential role in reducing the maintenance costs of rotating machinery manufacturing systems. In many real applications of fault detection and diagnosis, data tend to be imbalanced, meaning that the number of samples for some ...
Masoud Jalayer   +3 more
doaj   +1 more source

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