Fault Detection and Diagnosis in Industry 4.0: A Review on Challenges and Opportunities [PDF]
SensorsIntegrating Machine Learning (ML) in industrial settings has become a cornerstone of Industry 4.0, aiming to enhance production system reliability and efficiency through Real-Time Fault Detection and Diagnosis (RT-FDD).
Denis Leite +3 more
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Fault-Tolerant Control for Quadcopters Under Actuator and Sensor Faults [PDF]
SensorsFault detection and diagnosis (FDD) methods and fault-tolerant control (FTC) have been the focus of intensive research across various fields to ensure safe operation, reduce costs, and optimize maintenance tasks.
Kenji Fabiano Ávila Okada +6 more
doaj +3 more sources
Particle-Filter-Based Fault Diagnosis for the Startup Process of an Open-Cycle Liquid-Propellant Rocket Engine [PDF]
SensorsThis study introduces a fault diagnosis algorithm based on particle filtering for open-cycle liquid-propellant rocket engines (LPREs). The algorithm serves as a model-based method for the startup process, accounting for more than 30% of engine failures ...
Jihyoung Cha, Sangho Ko, Soon-Young Park
doaj +4 more sources
An Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis
Sensors, 2022 This work presents a novel Automated Machine Learning (AutoML) approach for Real-Time Fault Detection and Diagnosis (RT-FDD). The approach’s particular characteristics are: it uses only data that are commonly available in industrial automation systems ...
Denis Leite +4 more
doaj +2 more sources
Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review. [PDF]
Sensors (Basel)Combine harvesters, as essential equipment in agricultural engineering, frequently experience structural faults due to their complex structure and harsh working conditions, which severely affect their reliability and operational efficiency, leading to ...
Wang H +5 more
europepmc +2 more sources
Simultaneous State and Parameter Estimation Based Actuator Fault Detection and Diagnosis for an Unmanned Helicopter [PDF]
International Journal of Applied Mathematics and Computer Science, 2015 Simultaneous state and parameter estimation based actuator fault detection and diagnosis (FDD) for single-rotor unmanned helicopters (UHs) is investigated in this paper. A literature review of actuator FDD for UHs is given firstly.
Wu Chong +4 more
doaj +2 more sources
Data-Driven Fault Detection and Diagnosis: Research and Applications for HVAC Systems in Buildings [PDF]
Energies, 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 +2 more sources
Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques
International 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 +2 more sources
Generative Oversampling Method for Imbalanced Data on Bearing Fault Detection and Diagnosis [PDF]
Applied Sciences, 2019 In this study, we developed a novel data-driven fault detection and diagnosis (FDD) method for bearing faults in induction motors where the fault condition data are imbalanced.
Sungho Suh +4 more
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A Multi-Source Data-Driven Fault Detection and Diagnosis Method for Pumps
EnergiesFault detection and diagnosis (FDD) in pumps is crucial for building energy management by detecting the abnormal operation status, increasing the service life of equipment, and enhancing the energy performance of buildings. Most FDD methods predominantly
Jiefan Gu +9 more
doaj +2 more sources