Results 11 to 20 of about 2,912 (188)
AI in HVAC fault detection and diagnosis: A systematic review
Energy ReviewsRecent studies show that artificial intelligence (AI), such as machine learning and deep learning, models can be adopted and have advantages in fault detection and diagnosis for building energy systems.
Jian Bi +6 more
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Energies, 2021 Fault detection and diagnosis (FDD) systems enable high cost savings and energy savings that could have economic and environmental impact. This study aims to develop and validate a data-driven FDD system for a chiller.
Icksung Kim, Woohyun Kim
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Integrated Fault–Tolerant Control of a Quadcopter UAV with Incipient Actuator Faults
International 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.
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Cleaner 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
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Unknown input observer design for fault detection and diagnosis in a continuous stirred-tank reactor [PDF]
E3S 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
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Outline of a fault diagnosis system for a large-scale board machine [PDF]
, 2012 Global competition forces process industries to continuously optimize plant operation. One of the latest trends for efficiency and plant availability improvement is to set up fault diagnosis and maintenance systems for online industrial use.
Hämäläinen, Veikko +7 more
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Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles
Machines, 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
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Mobile Robot Lab Project to Introduce Engineering Students to Fault Diagnosis in Mechatronic Systems [PDF]
, 2015 This document is a self-archiving copy of the accepted version of the paper. Please find the final published version in IEEEXplore: http://dx.doi.org/10.1109/TE.2014.2358551This paper proposes lab work for learning fault detection and diagnosis (FDD) in
Fernández-Lozano, Juan Jesús +3 more
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IEEE 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
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Combining sensor monitoring and fault tolerant control to maintain flight control system functionalities [PDF]
, 2016 To maintain nominal flight control system functionalities during fault scenarios, enhancements of the state-of-practise angle of attack and airspeed sensor fault accommodation strategies are presented.
Joos, Hans-Dieter, Ossmann, Daniel
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