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Items where Author is "Wang, Yangang"

Items where Author is "Wang, Yangang"

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damage IGBT machine learning neural network physics-informed data Power components Power electronics module reliability thermal fatigue Wire bonds
Number of items: 10.

damage

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

IGBT

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

machine learning

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

neural network

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

physics-informed data

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

Power components

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

Power electronics module

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

reliability

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

thermal fatigue

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

Wire bonds

Stoyanov, Stoyan ORCID logoORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia ORCID logoORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim ORCID logoORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang (2025) Modelling the fatigue damage in power components using machine learning technology. Power Electronic Devices and Components, 10:100079. ISSN 2772-3704 (Online) (doi:10.1016/j.pedc.2025.100079)

This list was generated on Thu Apr 3 14:26:52 2025 UTC.