Results 31 to 40 of about 17,917 (263)
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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Predicting the fault revelation utility of mutants [PDF]
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018 Mutation testing is one of the strongest code-based test criteria. However, it is expensive as it involves a large number of mutants. To deal with this issue we propose a machine learning approach that learns to select fault revealing mutants. Fault revealing mutants are valuable to testers as their killing results in (collateral) fault revelation.
Thierry Titcheu Chekam +3 more
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Study on fault identification of mechanical dynamic nonlinear transmission system
Nonlinear Engineering, 2022 To solve the problems of large mechanical powertrain such as complex structure, serious accident, strong nonlinear characteristics of running state, bad operating environment, non-Gaussian noise, and various uncertain factors, it is difficult to make an ...
Guo Erfu +3 more
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Design of remote fault prediction system for coal preparation equipments
Gong-kuang zidonghua, 2019 In view of problems existing in current coal preparation equipments fault prediction, such as equipments monitoring data conversion method was not unified, single fault classification model cannot meet requirements of multiple fault types prediction, and
FU Xiang, WANG Ranfeng, PANG Liang
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Design and Implementation of the Remote Operation and Maintenance Platform for the Combine Harvester
Applied Sciences, 2022 To meet the needs of remotely operating and maintaining combine harvesters in view of the problems of extensive operation, inefficient operation and maintenance, and backward management of combine harvesters, a remote operation and maintenance platform ...
Shenghe Bai +11 more
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IEEE Access, 2018 Vehicular networks (VNs) have become a feasible solution to solve network related problems in an intelligent transportation system. Due to their wide use in services, VNs are extremely vulnerable to interference that leads to frequent faults; therefore ...
Rong Geng +3 more
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Alexandria Engineering Journal, 2023 When predicting the failure of large complete equipment such as continuous casting machines, it is usually difficult to obtain full life cycle failure data of core equipment such as continuous casting rollers.
Erbao Xu, Fangfang Zou, Pingping Shan
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A Novel Principal Component Analysis-Informer Model for Fault Prediction of Nuclear Valves
Machines, 2022 In this paper, a deep learning fault detection and prediction framework combining principal component analysis (PCA) and Informer is proposed to solve the problem of online monitoring of nuclear power valves which is hard to implement. More specifically,
Zhao An +10 more
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IEEE Access, 2020 Many researches have been carried out on incipient fault prediction technology for key machine components (such as bearings) based on historical and real-time condition monitoring data.
Qingfeng Wang +3 more
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Heterogeneous Fault Prediction Using Feature Selection and Supervised Learning Algorithms
Vietnam Journal of Computer Science, 2022 Software Fault Prediction (SFP) is the most persuasive research area of software engineering. Software Fault Prediction which is carried out within the same software project is known as With-In Fault Prediction.
Rashmi Arora, Arvinder Kaur
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