Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject fault detection
Showing results 1 to 6 of 6
| Issue Date | Title | Author(s) |
|---|---|---|
| 10-Jun-2020 | A Data-Driven Fault Detection Framework Using Mahalanobis Distance Based Dynamic Time Warping | Si, Y; Chen, Z; Sun, J; Zhang, D; Qian, P |
| 8-Aug-2020 | Fault Detection and Classification in MMC-HVDC Systems Using Learning Methods | Wang, Q; Yu, Y; Ahmed, HOA; Darwish, M; Nandi, AK |
| 4-Jan-2022 | Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission | Ahmed, HOA; Yu, Y; Wang, Q; Darwish, M; Nandi, AK |
| 10-Nov-2023 | Multi-Channel LSTM-Capsule Autoencoder Network for Anomaly Detection on Multivariate Data | Elhalwagy, A; Kalganova, T |
| 17-Jun-2021 | Open-circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) method | Wang, Q; Yu, Y; Ahmed, HOA; Darwish, M; Nandi, AK |
| 16-Aug-2024 | Periodic Segmentation Transformer-Based Internal Short Circuit Detection Method for Battery Packs | Dong, Z; Gu, S; Zhou, S; Yang, M; Lai, CS; Gao, M; Ji, X |