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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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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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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Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systemszenodo [PDF]
Data in BriefThis work introduces a new, comprehensive dataset for Fault Detection and Diagnosis (FDD) in inverter-driven Permanent Magnet Synchronous Motor (PMSM) systems.
Abdelkabir Bacha +3 more
doaj +2 more sources
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
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A dataset for fault detection and diagnosis of an air handling unit from a real industrial facility [PDF]
Data in Brief, 2023 This dataset was collected for the purpose of applying fault detection and diagnosis (FDD) techniques to real data from an industrial facility. The data for an air handling unit (AHU) is extracted from a building management system (BMS) and aligned with ...
Michael Ahern +2 more
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DML–LLM Hybrid Architecture for Fault Detection and Diagnosis in Sensor-Rich Industrial Systems [PDF]
SensorsFault Detection and Diagnosis (FDD) in complex industrial systems requires methods that can handle uncertain operating conditions, soft thresholds, evolving sensor behavior, and increasing volumes of heterogeneous data.
Yu-Shu Hu +2 more
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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
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Machine Learning-Based Fault Diagnosis for a PWR Nuclear Power Plant
IEEE Access, 2022 In the nuclear power industry, safety and reliability are of the utmost importance. Sensors and actuators are integral components in such systems, and potential faults may adversely impact system performance.
Amine Naimi +5 more
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Energies, 2022 The current work presents an effective fault detection and diagnosis (FDD) technique in wind energy converter (WEC) systems. The proposed FDD framework merges the benefits of kernel principal component analysis (KPCA) model and the bidirectional long ...
Zahra Yahyaoui +5 more
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