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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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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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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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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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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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Machines, 2023 This paper addresses the diagnostics of stator faults in three-phase line-start permanent magnet synchronous motors. More traditional fault diagnostic methodologies are unable to properly diagnose stator inter-turn short-circuit faults in three-phase ...
D. S. B. Fonseca +2 more
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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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Quantitative Fault Diagnostics of Hydraulic Cylinder Using Particle Filter
Machines, 2023 Condition-based hydraulic cylinder maintenance necessitates quantitative fault diagnostics. However, existing methods are characterized by either qualitative or limited quantitative capabilities.
Yakun Zhang +3 more
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Sensors, 2021 Diagnosing the condition of rotating machines by non-invasive methods is based on the analysis of dynamic signals from sensors mounted on the machine—such as vibration, velocity, or acceleration sensors; torque meters; force sensors; pressure sensors ...
Iwona Komorska, Andrzej Puchalski
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