Results 11 to 20 of about 16,975 (265)
A Fault Prediction Model of Adaptive Fuzzy Neural Network for Optimal Membership Function
IEEE Access, 2020 As an essential and challenging technology of fault prediction and health management(PHM), fault prediction technology has been a research focus in the field of fault diagnosis. However, the current model-based fault prediction technology and data-driven
Baoshan Zhang +4 more
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Mutation-aware fault prediction [PDF]
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016 We introduce mutation-aware fault prediction, which leverages additional guidance from metrics constructed in terms of mutants and the test cases that cover and detect them. We report the results of 12 sets of experiments, applying 4 different predictive modelling techniques to 3 large real-world systems (both open and closed source).
Bowes, D +5 more
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A Fault Analysis Method for Three-Phase Induction Motors Based on Spiking Neural P Systems
Complexity, 2021 The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these issues.
Zhu Huang +5 more
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Energy Reports, 2022 The safe and stable operation of power transmission and transformation equipment is the foundation of power grid safety, so the prediction of power transmission and transformation equipment fault is particularly important, and the prediction of the ...
Jiafeng Qin +4 more
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IEEE Access, 2020 By increasing the complexity of the Internet of Things (IoT) applications, fault prediction become an important challenge in interactions between human, and smart devices.
Alireza Souri +5 more
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PLoS ONE, 2023 A physical modeling approach was adopted to build a Digital Electro-Hydraulic Control (DEH) system simulation model and the fault models using the SIMULINK tool. This research combined the advantages of the gray system and neural network to build a multi-
Ling Zhong, Qing Li
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Power System Fault Classification and Prediction Based on a Three-Layer Data Mining Structure
IEEE Access, 2020 In traditional fault diagnosis methods in power systems, it is difficult to accurately classify and predict the types of faults. With the emergence of big data technology, the fault classification and prediction methods based on big data analysis and ...
Yunliang Wang +3 more
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IEEE Access, 2019 Wireless sensor network (WSN) is a distributed intelligent network, which can independently achieve the information collection task of monitoring targets. However, the WSN is susceptible to faults due to various factors, such as sensor resources, network
Wei He +4 more
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Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Many signals of interest are corrupted by faults of anunknown type. We propose an approach that uses Gaus-sian processes and a general “fault bucket” to capturea priori uncharacterised faults, along with an approxi-mate method for marginalising the potential faultinessof all observations.
Osborne, M +3 more
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A Review of Fault Diagnosis, Status Prediction, and Evaluation Technology for Wind Turbines
Energies, 2023 With the rapid development and increasing energy production capacity of high-power wind turbines, a corresponding increase in maintenance requirements has been observed.
Fanghong Zhang +4 more
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