Results 21 to 30 of about 17,917 (263)
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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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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Metric-Based Fault Prediction for Spreadsheets [PDF]
IEEE Transactions on Software Engineering, 2021 Electronic spreadsheets are widely used in organizations for various data analytics and decision-making tasks. Even though faults within such spreadsheets are common and can have significant negative consequences, today's tools for creating and handling spreadsheets provide limited support for fault detection, localization, and repair.
Patrick W. Koch +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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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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Checkpointing algorithms and fault prediction [PDF]
Journal of Parallel and Distributed Computing, 2014 This paper deals with the impact of fault prediction techniques on checkpointing strategies. We extend the classical first-order analysis of Young and Daly in the presence of a fault prediction system, characterized by its recall and its precision. In this framework, we provide an optimal algorithm to decide when to take predictions into account, and ...
Aupy, Guillaume +3 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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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).
David Bowes +5 more
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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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Predicting faults from cached history [PDF]
Proceedings of the 1st India software engineering conference, 2007 We analyze the version history of 7 software systems to predict the most fault prone entities and files. The basic assumption is that faults do not occur in isolation, but rather in bursts of several related faults. Therefore, we cache locations that are likely to have faults: starting from the location of a known (fixed) fault, we cache the location ...
Sunghun Kim 0001 +3 more
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