Results 21 to 30 of about 22,860 (267)
A New Scheme for Fault Detection and Classification Applied to DC Motor
Trends in Computational and Applied Mathematics, 2018 This study presents an approach for fault detection and classification in a DC drive system. The fault is detected by a classical Luenberger observer. After the fault detection, the fault classification is started.
Laércio I. Santos +5 more
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Hydraulic Rock Drill Fault Classification Using X−Vectors
Mathematics, 2023 Hydraulic rock drills are widely used in drilling, mining, construction, and engineering applications. They typically operate in harsh environments with high humidity, large temperature differences, and vibration.
Huixuan Ling +4 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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Machines, 2023 The use of deep learning for fault diagnosis is already a common approach. However, integrating discriminative information of fault types and scales into deep learning models for rich multitask fault feature diagnosis still deserves attention.
Ruihao Xin +4 more
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Shock and Vibration, 2019 Fault diagnosis of rotating machinery mainly includes fault feature extraction and fault classification. Vibration signal from the operation of machinery usually could help diagnosing the operational state of equipment.
Lei You +5 more
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Machine Fault Classification Using Hamiltonian Neural Networks
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023 A new approach is introduced to classify faults in rotating machinery based on the total energy signature estimated from sensor measurements. The overall goal is to go beyond using black-box models and incorporate additional physical constraints that govern the behavior of mechanical systems.
Shen, Jeremy +3 more
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A Sparsity-Assisted Fault Diagnosis Method Based on Nonconvex Sparse Regularization
IEEE Access, 2021 Sparse representation theory can be adopted for fault feature extraction and classification. Inspired by these two capabilities of sparse representation theory, this paper proposes a novel collaborative sparsity-assisted fault diagnosis (CSFD) method ...
Yijie Niu, Jiyou Fei
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Alexandria Engineering Journal, 2016 Parallel transmission lines are difficult to protect due to mutual coupling between circuits. This paper proposes a Naïve Bayes classifier (NBC) based fault detection and classification technique for protection of parallel transmission line involving ...
Aleena Swetapadma, Anamika Yadav
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Classification of fault breccias and related fault rocks
Geological Magazine, 2008 AbstractDespite extensive research on fault rocks, and on their commercial importance, there is no non-genetic classification of fault breccias that can easily be applied in the field. The present criterion for recognizing fault breccia as having no ‘primary cohesion’ is often difficult to assess. Instead we propose that fault breccia should be defined,
N. H. WOODCOCK, K. MORT
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Energies, 2022 The existing motor fault classification methods mostly use sensors to detect a single fault feature, which makes it difficult to ensure high diagnostic accuracy.
Yi Wang +4 more
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