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Fault diagnosis of SEPIC converters based on PSO-DBN and wavelet packet energy spectrum
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.measurement.2016.04.051openalex-snapshot
Neural Network Fault Diagnosis of Voltage Source Inverter under variable load conditions at different frequencies
inferredcites →https://doi.org/10.1016/j.microrel.2010.08.006openalex-snapshot
Ageing defect detection on IGBT power modules by artificial training methods based on pattern recognition
inferredcites →https://doi.org/10.1016/j.rser.2010.12.005openalex-snapshot
Advancements in power electronics and drives in interface with growing renewable energy resources
inferredcites →https://doi.org/10.1016/j.ymssp.2015.11.014openalex-snapshot
Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings
inferredcites →https://doi.org/10.1049/iet-est.2014.0055openalex-snapshot
Artificial neural network‐based fault diagnosis in the AC–DC converter of the power supply of series hybrid electric vehicle
inferredcites →https://doi.org/10.1049/iet-pel.2011.0163openalex-snapshot
On-line fault detection of aluminium electrolytic capacitors, in step-down DC–DC converters, using input current and output voltage ripple
inferredcites →https://doi.org/10.1109/08ias.2008.349openalex-snapshot
A Literature Review of IGBT Fault Diagnostic and Protection Methods for Power Inverters
inferredcites →https://doi.org/10.1109/iecon.2005.1569014openalex-snapshot
Fault diagnosis and failure prediction of aluminum electrolytic capacitors in power electronic converters
inferredcites →https://doi.org/10.1109/phm.2016.7819885openalex-snapshot
On-line component-level soft fault diagnostics for power converters
inferredcites →https://doi.org/10.1109/tcsi.2012.2221222openalex-snapshot
Fault Detection and Isolation Filters for Three-Phase AC-DC Power Electronics Systems
inferredcites →https://doi.org/10.1109/tia.2014.2308357openalex-snapshot
Reliability of Capacitors for DC-Link Applications in Power Electronic Converters—An Overview
inferredcites →https://doi.org/10.1109/tia.2016.2591906openalex-snapshot
A Review of the Condition Monitoring of Capacitors in Power Electronic Converters
inferredcites →https://doi.org/10.1109/tim.2009.2032960openalex-snapshot
An Online and Noninvasive Technique for the Condition Monitoring of Capacitors in Boost Converters
inferredcites →https://doi.org/10.1109/tpel.2013.2273556openalex-snapshot
Quantifying Device Degradation in Live Power Converters Using SSTDR Assisted Impedance Matrix
inferredcites →https://doi.org/10.1109/tpel.2014.2346485openalex-snapshot
Physics-of-Failure, Condition Monitoring, and Prognostics of Insulated Gate Bipolar Transistor Modules: A Review
inferredcites →https://doi.org/10.1109/tpel.2014.2360662openalex-snapshot
Computationally Efficient, Real-Time, and Embeddable Prognostic Techniques for Power Electronics
inferredcites →https://doi.org/10.1109/tpel.2014.2383436openalex-snapshot
A Current-Sensorless Online ESR and C Identification Method for Output Capacitor of Buck Converter
inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot
A Fast Learning Algorithm for Deep Belief Nets
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.8336openalex-snapshot
Research on Industrial Process Fault Diagnosis Based on Deep Spatiotemporal Fusion Graph Convolutional Network
inferred← citeshttps://doi.org/10.1007/978-3-319-78658-2_23openalex-snapshot
Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO
inferred← citeshttps://doi.org/10.1007/s10489-020-02050-2openalex-snapshot
A-DBNF: adaptive deep belief network framework for regression and classification tasks
inferred← citeshttps://doi.org/10.1007/s12206-020-0908-7openalex-snapshot
Towards bearing failure prognostics: a practical comparison between data-driven methods for industrial applications
inferred← citeshttps://doi.org/10.1016/j.swevo.2019.100561openalex-snapshot
Shallow and deep neural network training by water wave optimization
inferred← citeshttps://doi.org/10.1109/access.2019.2929542openalex-snapshot
Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed
inferred← citeshttps://doi.org/10.1109/access.2020.2988323openalex-snapshot
A Data-Driven-Based Fault Diagnosis Approach for Electrical Power DC-DC Inverter by Using Modified Convolutional Neural Network With Global Average Pooling and 2-D Feature Image
inferred← citeshttps://doi.org/10.1109/access.2020.3025628openalex-snapshot
Research on Fault Detection for ZPW-2000A Jointless Track Circuit Based on Deep Belief Network Optimized by Improved Particle Swarm Optimization Algorithm
inferred← citeshttps://doi.org/10.1109/access.2022.3193784openalex-snapshot
Combined Optimizer for Automatic Design of Machine Learning-Based Fault Classifier for Multilevel Inverters
inferred← citeshttps://doi.org/10.1109/iciea58696.2023.10241891openalex-snapshot
Fault Diagnosis Strategy of Four-Switch Buck-Boost Converter Based on BP Neural Network Optimized by Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1109/ipemc-ecceasia48364.2020.9367826openalex-snapshot
Soft Fault Diagnosis for DC-DC Converters with Wavelet Transform and Fuzzy Cerebellar Model Neural Networks
inferred← citeshttps://doi.org/10.1109/itsc48978.2021.9565075openalex-snapshot
Fault Diagnosis of ZD6 Turnout System Based on Wavelet Transform and GAPSO-FCM
inferred← citeshttps://doi.org/10.1109/oncon60463.2023.10430681openalex-snapshot
Parameter Degradation Features Selection Based on Multiple Evaluation Index in a DC-DC Converter
inferred← citeshttps://doi.org/10.1515/bams-2019-0016openalex-snapshot
Clustering and Classification based real time analysis of health monitoring and risk assessment in Wireless Body Sensor Networks
inferred← citeshttps://doi.org/10.4018/ijbdcn.2020010105openalex-snapshot
Optimization Driven Deep Learning Approach for Health Monitoring and Risk Assessment in Wireless Body Sensor Networks
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