Research graph
References from Lightweight Multi-Task CNN for Simultaneous IGBT Switch Aging Diagnosis Using CWT-Based RGB Images. Local targets link to admitted publications; unresolved targets remain external evidence.
Condition monitoring for device reliability in power electronic converters: A review
10.1109/tpel.2010.2049377 · 2010 · External reference
An industry-based survey of reliability in power electronic converters
10.1109/tia.2011.2124436 · 2011 · External reference
Diagnosis and tolerant strategy of an open-switch fault for T-type three-level inverter systems
10.1109/tia.2013.2269531 · 2014 · External reference
10.1109/iecon.2018.8591088
10.1109/iecon.2018.8591088 · External reference
Reliability diagnosis and fault prediction technique for three-phase inverters using artificial neural networks
10.1109/access.2026.3650960 · 2026 · External reference
Unresolved reference
External reference
Gradient surgery for multi-task learning
2020 · External reference
Physics-of-failure, condition monitoring, and prognostics of insulated gate bipolar transistor modules: A review
10.1109/tpel.2014.2346485 · 2015 · External reference
A review on IGBT module failure modes and lifetime testing
10.1109/access.2021.3049738 · 2021 · External reference
Study and handling methods of power IGBT module failures in power electronic converter systems
10.1109/tpel.2014.2373390 · 2015 · External reference
Reliability improvement of power converters by means of condition monitoring of IGBT modules
10.1109/tpel.2016.2633578 · 2017 · External reference
Condition monitoring IGBT module bond wires fatigue using short-circuit current identification
10.1109/tpel.2016.2585669 · 2017 · External reference
10.3390/electronics9101559
10.3390/electronics9101559 · External reference
Separation and validation of bond-wire and solder layer failure modes in IGBT modules
10.1109/tia.2022.3141034 · 2022 · External reference
A bond wire aging monitoring method for IGBT modules based on bond wire degradation voltage
10.1109/jestpe.2024.3476374 · 2024 · External reference
An online monitoring method for bond wire fatigue in IGBT module
10.1109/jeds.2024.3399554 · 2024 · External reference
Hybrid method for remaining useful life prediction of power IGBT modules in high-speed trains
10.1109/tpel.2024.3436873 · 2024 · External reference
Improved IGBT Aging Diagnosis for Three-Phase Inverters via Phase-Angle Feature Redesign and Kernel SHAP Analysis
10.1109/access.2026.3707614 · 2026 · External reference
Fault detection for power electronic converters based on continuous wavelet transform and convolution neural network
2022 · External reference
Fault diagnosis for power electronics converters based on deep feedforward network and wavelet compression
10.1016/j.epsr.2020.106370 · 2020 · External reference
10.3390/electronics12163460
10.3390/electronics12163460 · External reference
Detecting open-circuit faults in power electronic converters using continuous wavelet transform and convolutional neural networks for simultaneous charging systems
2025 · External reference
A novel simultaneous diagnosis method for IGBT open-circuit faults and current sensor faults of three-phase SPWM inverter
10.1109/tpel.2025.3550582 · 2025 · External reference
10.3389/fenrg.2024.1388273
10.3389/fenrg.2024.1388273 · External reference
Online open-circuit fault diagnosis for ANPC inverters using edge-based lightweight two-dimensional CNN
10.1109/tpel.2024.3351911 · 2024 · External reference
Real-time diagnosis of multiple open-circuit faults in ANPC inverters based on lightweight deployment of edge 2D-CNN
10.1109/tie.2025.3549086 · 2025 · External reference
IHBA-optimized DR-SE-NPCNet for robust open-circuit fault diagnosis in three-level NPC inverters under mixed and noisy conditions
10.1038/s41598-025-34025-z · 2025 · External reference
Fault diagnosis of cascaded multilevel inverter using multiscale kernel convolutional neural network
10.1109/access.2023.3299852 · 2023 · External reference
10.3390/s24061745
10.3390/s24061745 · External reference
Transfer learning based open-circuit fault diagnosis method for three-phase inverters
10.1007/s43236-024-00958-3 · 2025 · External reference
A transferrable data-driven method for IGBT open-circuit fault diagnosis in three-phase inverters
10.1109/tpel.2021.3088889 · 2021 · External reference
An online convolutional neural network based method for open-circuit fault diagnosis in three-phase inverters under extremely unbalanced loading condition
10.1109/tpel.2026.3669457 · 2026 · External reference
Enhanced 1-D convolutional neural network-based open-circuit fault diagnosis and hybrid fault-tolerant control for three-level NPC converters
2025 · External reference
10.3390/electronics13020452
10.3390/electronics13020452 · External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
Unresolved reference
External reference
10.1109/cvpr.2018.00474
10.1109/cvpr.2018.00474 · External reference
10.1109/cvpr.2015.7298594
10.1109/cvpr.2015.7298594 · External reference
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
10.1016/j.isatra.2020.08.010 · 2020 · External reference
10.3390/machines13050347
10.3390/machines13050347 · External reference
Fault-MTL: A multi-task deep learning approach for simultaneous fault classification and localization in power systems
10.1007/s40313-024-01119-4 · 2024 · External reference
A multi-rate sensor fusion and multi-task learning network for concurrent fault diagnosis of hydraulic systems
10.1016/j.dsp.2024.104796 · 2025 · External reference
A knowledge-driven method for IGBT remaining useful life prediction using bidirectional learning and physics-enhanced pathformer networks
2025 · External reference
An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
10.1016/j.ymssp.2021.108105 · 2022 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
10.3390/a19040299
10.3390/a19040299 · External reference
10.3390/s24237831
10.3390/s24237831 · External reference
Lightweight neural networks with anti-colored noise for bearing fault diagnosis using deep separable convolution and transfer learning
10.1038/s41598-025-28332-8 · 2025 · External reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · External reference
10.1016/b978-012466606-1/50008-8
10.1016/b978-012466606-1/50008-8 · External reference
A practical guide to wavelet analysis
10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2 · 1998 · External reference
Characterizing parameter scaling with quantization for deployment of CNNs on real-time systems
10.1145/3654799 · 2024 · External reference
ImageNet large scale visual recognition challenge
10.1007/s11263-015-0816-y · 2015 · External reference
10.1109/cvpr.2017.316
10.1109/cvpr.2017.316 · External reference
A theory of learning from different domains
10.1007/s10994-009-5152-4 · 2010 · External reference
Explainable artificial intelligence based simulation-to-real domain adaptation for robust rotor condition monitoring
10.1016/j.aei.2026.104652 · 2026 · External reference
A theory of learning from different domains
10.1007/s10994-009-5152-4 · ExternalCitation · doi-reference
ImageNet large scale visual recognition challenge
10.1007/s11263-015-0816-y · ExternalCitation · doi-reference
Fault-MTL: A multi-task deep learning approach for simultaneous fault classification and localization in power systems
10.1007/s40313-024-01119-4 · ExternalCitation · doi-reference
Transfer learning based open-circuit fault diagnosis method for three-phase inverters
10.1007/s43236-024-00958-3 · ExternalCitation · doi-reference
10.1016/b978-012466606-1/50008-8
10.1016/b978-012466606-1/50008-8 · ExternalCitation · doi-reference
Explainable artificial intelligence based simulation-to-real domain adaptation for robust rotor condition monitoring
10.1016/j.aei.2026.104652 · ExternalCitation · doi-reference
A multi-rate sensor fusion and multi-task learning network for concurrent fault diagnosis of hydraulic systems
10.1016/j.dsp.2024.104796 · ExternalCitation · doi-reference
Fault diagnosis for power electronics converters based on deep feedforward network and wavelet compression
10.1016/j.epsr.2020.106370 · ExternalCitation · doi-reference
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
10.1016/j.isatra.2020.08.010 · ExternalCitation · doi-reference
An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
10.1016/j.ymssp.2021.108105 · ExternalCitation · doi-reference
Lightweight neural networks with anti-colored noise for bearing fault diagnosis using deep separable convolution and transfer learning
10.1038/s41598-025-28332-8 · ExternalCitation · doi-reference
IHBA-optimized DR-SE-NPCNet for robust open-circuit fault diagnosis in three-level NPC inverters under mixed and noisy conditions
10.1038/s41598-025-34025-z · ExternalCitation · doi-reference
A review on IGBT module failure modes and lifetime testing
10.1109/access.2021.3049738 · ExternalCitation · doi-reference
Fault diagnosis of cascaded multilevel inverter using multiscale kernel convolutional neural network
10.1109/access.2023.3299852 · ExternalCitation · doi-reference
Reliability diagnosis and fault prediction technique for three-phase inverters using artificial neural networks
10.1109/access.2026.3650960 · ExternalCitation · doi-reference
Improved IGBT Aging Diagnosis for Three-Phase Inverters via Phase-Angle Feature Redesign and Kernel SHAP Analysis
10.1109/access.2026.3707614 · ExternalCitation · doi-reference
10.1109/cvpr.2015.7298594
10.1109/cvpr.2015.7298594 · ExternalCitation · doi-reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · ExternalCitation · doi-reference
10.1109/cvpr.2017.316
10.1109/cvpr.2017.316 · ExternalCitation · doi-reference
10.1109/cvpr.2018.00474
10.1109/cvpr.2018.00474 · ExternalCitation · doi-reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · ExternalCitation · doi-reference
10.1109/iecon.2018.8591088
10.1109/iecon.2018.8591088 · ExternalCitation · doi-reference
An online monitoring method for bond wire fatigue in IGBT module
10.1109/jeds.2024.3399554 · ExternalCitation · doi-reference
A bond wire aging monitoring method for IGBT modules based on bond wire degradation voltage
10.1109/jestpe.2024.3476374 · ExternalCitation · doi-reference
An industry-based survey of reliability in power electronic converters
10.1109/tia.2011.2124436 · ExternalCitation · doi-reference
Diagnosis and tolerant strategy of an open-switch fault for T-type three-level inverter systems
10.1109/tia.2013.2269531 · ExternalCitation · doi-reference
Separation and validation of bond-wire and solder layer failure modes in IGBT modules
10.1109/tia.2022.3141034 · ExternalCitation · doi-reference
Real-time diagnosis of multiple open-circuit faults in ANPC inverters based on lightweight deployment of edge 2D-CNN
10.1109/tie.2025.3549086 · ExternalCitation · doi-reference
Condition monitoring for device reliability in power electronic converters: A review
10.1109/tpel.2010.2049377 · ExternalCitation · doi-reference
Physics-of-failure, condition monitoring, and prognostics of insulated gate bipolar transistor modules: A review
10.1109/tpel.2014.2346485 · ExternalCitation · doi-reference
Study and handling methods of power IGBT module failures in power electronic converter systems
10.1109/tpel.2014.2373390 · ExternalCitation · doi-reference
Condition monitoring IGBT module bond wires fatigue using short-circuit current identification
10.1109/tpel.2016.2585669 · ExternalCitation · doi-reference
Reliability improvement of power converters by means of condition monitoring of IGBT modules
10.1109/tpel.2016.2633578 · ExternalCitation · doi-reference
A transferrable data-driven method for IGBT open-circuit fault diagnosis in three-phase inverters
10.1109/tpel.2021.3088889 · ExternalCitation · doi-reference
Online open-circuit fault diagnosis for ANPC inverters using edge-based lightweight two-dimensional CNN
10.1109/tpel.2024.3351911 · ExternalCitation · doi-reference
Hybrid method for remaining useful life prediction of power IGBT modules in high-speed trains
10.1109/tpel.2024.3436873 · ExternalCitation · doi-reference
A novel simultaneous diagnosis method for IGBT open-circuit faults and current sensor faults of three-phase SPWM inverter
10.1109/tpel.2025.3550582 · ExternalCitation · doi-reference
An online convolutional neural network based method for open-circuit fault diagnosis in three-phase inverters under extremely unbalanced loading condition
10.1109/tpel.2026.3669457 · ExternalCitation · doi-reference
Characterizing parameter scaling with quantization for deployment of CNNs on real-time systems
10.1145/3654799 · ExternalCitation · doi-reference
A practical guide to wavelet analysis
10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2 · ExternalCitation · doi-reference
10.3389/fenrg.2024.1388273
10.3389/fenrg.2024.1388273 · ExternalCitation · doi-reference
10.3390/a19040299
10.3390/a19040299 · ExternalCitation · doi-reference
10.3390/electronics12163460
10.3390/electronics12163460 · ExternalCitation · doi-reference
10.3390/electronics13020452
10.3390/electronics13020452 · ExternalCitation · doi-reference
10.3390/electronics9101559
10.3390/electronics9101559 · ExternalCitation · doi-reference
10.3390/machines13050347
10.3390/machines13050347 · ExternalCitation · doi-reference
10.3390/s24061745
10.3390/s24061745 · ExternalCitation · doi-reference
10.3390/s24237831
10.3390/s24237831 · ExternalCitation · doi-reference
