Sensor Fault Diagnostics Using Physics-Informed Transfer Learning Framework [PDF]
Sensors, 2022 The field of smart health monitoring, intelligent fault detection and diagnosis is expanding dramatically in order to maintain successful operation in many engineering applications.
Furkan Guc, Yangquan Chen
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Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types [PDF]
Sensors, 2021 Reliable fault detection and diagnostics are crucial in order to ensure efficient operations in industrial assets. Data-driven solutions have shown great potential in various fields but pose many challenges in Prognostics and Health Management (PHM ...
Katharina Rombach +2 more
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Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems [PDF]
Sensors, 2022 Smart manufacturing systems are being advocated to leverage technological advances that enable them to be more resilient to faults through rapid diagnosis for performance assurance.
Toyosi Ademujimi, Vittaldas Prabhu
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A Deep Learning Method for Bearing Cross-Domain Fault Diagnostics Based on the Standard Envelope Spectrum [PDF]
SensorsIntelligent fault diagnostics based on deep learning provides a favorable guarantee for the reliable operation of equipment, but a trained deep learning model generally has low prediction accuracy in cross-domain diagnostics.
Lubin Zhai +3 more
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Machines, 2022 Autonomous underwater vehicle (AUV) is one of the most important exploration tools in the ocean underwater environment, whose movement is realized by the underwater thrusters, however, the thruster fault happens frequently in engineering practice.
Qunhong Tian +3 more
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Sensors and Fault Diagnostics in Power System. [PDF]
Sensors (Basel)The adequate technical condition assessment of key apparatuses is a crucial assumption in the delivery of reliable and continuous electric power to customers [...]
Kunicki M, Fulneček J, Rozga P.
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Fault Diagnostics Based on the Analysis of Probability Distributions Estimated Using a Particle Filter [PDF]
SensorsThis paper proposes a monitoring procedure based on characterizing state probability distributions estimated using particle filters. The work highlights what types of information can be obtained during state estimation and how the revealed information ...
András Darányi, János Abonyi
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Fault diagnostics in an inverter feeding an induction motor using fuzzy logic
Journal of Electrical Systems and Information Technology, 2017 This paper presents a fault diagnostics system for a three-phase voltage source inverter. The system is developed as a rule-based fuzzy logic system for fault cases of the inverter power semiconductor switches.
Faeka Khater +2 more
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Fusion-Learning of Bayesian Network Models for Fault Diagnostics. [PDF]
Sensors (Basel), 2021 Bayesian Network (BN) models are being successfully applied to improve fault diagnosis, which in turn can improve equipment uptime and customer service.
Ademujimi T, Prabhu V.
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Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems
IEEE Access, 2023 Fault diagnostics are extremely important to decide proper actions toward fault isolation and system restoration. The growing integration of inverter-based distributed energy resources imposes strong influences on fault detection using traditional ...
Bang L. H. Nguyen +4 more
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