Results 1 to 10 of about 848 (114)
Sensor Fault Diagnostics Using Physics-Informed Transfer Learning Framework
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.
YangQuan Chen, A Furkan Guc
exaly +3 more sources
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.
Guangtao Ran, Qunhong Tian
exaly +3 more sources
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 ...
Gabriel Michau, Olga Fink
exaly +3 more sources
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 Le-Huy Nguyen +2 more
exaly +3 more sources
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.
Mohamed I Abu El-Sebah
exaly +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Applied Sciences, 2021 A review of the fault diagnostic techniques based on machine is presented in this paper. As the world is moving towards industry 4.0 standards, the problems of limited computational power and available memory are decreasing day by day.
Karolina Kudelina +5 more
doaj +1 more source
Fault Diagnostics by Conceptors-Aided Clustering [PDF]
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, 2020 Fault diagnostics in practice faces the challenge of dealing with unlabelled time series that have long-term temporal dependencies. Inspired by the idea of representing temporal patterns by a mechanism of neurodynamical pattern learning, called Conceptors, we propose an unsupervised clustering method for identifying the degradation state of industrial ...
Xu M., Baraldi P., Zio E.
openaire +2 more sources