Fault classification in the process industry using polygon generation and deep learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-021-01742-x
Abstract: This paper proposes a novel data preprocessing method that converts numeric data into representative graphs (polygons) expressing all of the relationships between data variables in a systematic way based on Hamiltonian cycles. The advantage of… read more here.
Keywords: fault classification; method; process industry; deep learning ... See more keywords
A Novel Fault Classification Scheme for Series Capacitor Compensated Transmission Line Based on Bagged Tree Ensemble Classifier
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2836401
Abstract: This paper presents a novel intelligent fault classification scheme for fixed series capacitor compensated transmission line. The singular value decomposition principle is applied along with the fast discrete orthonormal S-transform (FDOST) and bagged tree ensemble… read more here.
Keywords: fault; classification scheme; series capacitor; scheme ... See more keywords
Data-Enhanced Stacked Autoencoders for Insufficient Fault Classification of Machinery and its Understanding via Visualization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2985769
Abstract: As a practical tool for big data processing, deep learning not only has drawn extensive attentions in the inherent law and representation level of sample data, but also has been widely concerned in the field… read more here.
Keywords: data enhanced; fault classification; enhanced stacked; stacked autoencoders ... See more keywords
Modified Label Propagation on Manifold With Applications to Fault Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2995399
Abstract: In process monitoring, fault classification performance heavily relies on the labels of training data. However, the labeled data are inadequate and difficult to obtain because they require experienced human annotators. In this paper, a modified… read more here.
Keywords: label propagation; propagation; manifold; fault classification ... See more keywords
Power System Fault Classification and Prediction Based on a Three-Layer Data Mining Structure
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034365
Abstract: 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… read more here.
Keywords: data mining; fault classification; prediction; classification prediction ... See more keywords
Dropout and Pruned Neural Networks for Fault Classification in Photovoltaic Arrays
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3108684
Abstract: Automatic detection of solar array faults reduces maintenance costs and increases efficiency. In this paper, we address the problem of fault detection, localization, and classification in utility-scale photovoltaic (PV) arrays using machine learning methods. More… read more here.
Keywords: photovoltaic arrays; classification; detection; neural networks ... See more keywords
Deep Learning-Based Fault Classification and Location for Underground Power Cable of Nuclear Facilities
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3187026
Abstract: Worldwide, Nuclear Power Plants (NPPs) must have higher security protection and precise fault detection systems, especially underground power cable faults, to avoid causing national disasters and keep on safe national ratios of electricity production. Hence,… read more here.
Keywords: cable; power; fault; classification location ... See more keywords
Weakly Supervised Multilayer Perceptron for Industrial Fault Classification With Inaccurate and Incomplete Labels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2020.3043531
Abstract: For fault classification in industrial processes, both inaccurate and incomplete supervised information commonly exist in practice, which raise a big challenge to the research field. In this article, a weakly supervised form of the multilayer… read more here.
Keywords: incomplete labels; mlp model; weakly supervised; inaccurate incomplete ... See more keywords
Fault Classification and Voltage Sag Parameter Computation Using Voltage Ellipses
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Industry Applications"
DOI: 10.1109/tia.2018.2864108
Abstract: Fault classification and voltage sag parameter computation using voltage ellipses in Clarke's domain are presented in this paper. The voltage sag parameters computed were the point-on-wave of initiation and recovery, residual voltage, and phase-angle jump.… read more here.
Keywords: voltage; voltage sag; classification voltage; fault classification ... See more keywords
Manifold-Preserving Sparse Graph-Based Ensemble FDA for Industrial Label-Noise Fault Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2019.2930157
Abstract: For the fault classification of chemical industries, the typical Fisher discriminant analysis (FDA) model requires that all the training samples should be correctly labeled. Actually, training samples tend to be polluted by mislabeled samples for… read more here.
Keywords: fault classification; manifold preserving; training samples; label noise ... See more keywords
A Robust Fault Classification Method for Streaming Industrial Data Based on Wasserstein Generative Adversarial Network and Semi-Supervised Ladder Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3262249
Abstract: With the development of modern information technology, the collection, storage, and transmission of information in the process industry have been gaining popularity. However, the massive streaming industrial data obtained in real time have some nonideal… read more here.
Keywords: network; streaming industrial; classification; industrial data ... See more keywords