Recent advancements in data-driven methodologies for the fault diagnosis and prognosis of marine systems: A systematic review

C Velasco-Gallego, BN De Maya, CM Molina… - Ocean …, 2023 - Elsevier
In recent years, there has been an interest increase in smart maintenance within the
shipping sector due to the benefits and opportunities associated with its implementation …

Pulsed-power load monitoring for an all-electric ship: Utilizing the fourier transform data-driven deep learning approach

Y Ma, D Oslebo, A Maqsood… - IEEE Electrification …, 2021 - ieeexplore.ieee.org
Future Naval Advanced Weapon and sensor loads require high power density power
electronic distribution systems (PEDs) to be viable. The mission-defined electronic loads …

A lightweight bearing fault diagnosis method based on multi-channel depthwise separable convolutional neural network

L Ling, Q Wu, K Huang, Y Wang, C Wang - Electronics, 2022 - mdpi.com
The existing rolling bearing fault diagnosis method based on the deep convolutional neural
network has the issues of insufficient feature extraction ability, poor anti-noise ability, and a …

Deep learning approach for cable partial discharge pattern identification

MH Saad, S Hashima, AI Omar, MM Fouda… - Electrical Engineering, 2024 - Springer
Ensuring the durability of high-voltage (HV) cross-linked polyethylene (XLPE) cable
insulation requires vigilant cleanliness maintenance during production to mitigate impurities …

Comparative analysis of data driven fault detection using wavelet and Fourier transform for DC pulsed power load in the all-electric ship

Y Ma, A Maqsood, D Oslebo… - 2021 IEEE Applied …, 2021 - ieeexplore.ieee.org
Next generation warships require energy dense distribution to power advanced weapon and
sensor loads. A particularly concerning issue is that these advanced pulsating loads draw …

A Nonintrusive Load Monitoring Method for Microgrid EMS Using Bi‐LSTM Algorithm

D Zhou, Y Wu, H Zhou - Complexity, 2021 - Wiley Online Library
Nonintrusive load monitoring in smart microgrids aims to obtain the energy consumption of
individual appliances from the aggregated energy data, which is generally confronted with …

Real-time dc pulsed power load monitoring using simplified k-nn algorithms

Y Ma, A Maqsood, D Oslebo… - 2021 IEEE Energy …, 2021 - ieeexplore.ieee.org
Extensive deployment of power electronic loads in Naval ship power systems indicate the
inevitable full ship electrification. Many Naval loads draw pulse power with a rapid and large …

Real-time Cluster Analysis based Fault Detection for Dc Pulsed Power Load in the All-Electric Ship

Y Ma, A Maqsood, D Oslebo… - 2021 IEEE Applied …, 2021 - ieeexplore.ieee.org
Many of the new electronic loads being placed on Naval ships draw pulsed currents with a
rapid and large transient from the dc power system. This creates difficulty in distinguishing …

Dc Fault Detection of Shipboard Pulsed Power Loads using Logistic Regression

L Posam, Y Ma, K Corzine - 2022 IEEE Applied Power …, 2022 - ieeexplore.ieee.org
As power electronic loads become integral in naval ship power system, full ship
electrification is inevitable; however, many power loads draw power with a rapid and large …

RNN-based fault detection method for MMC photovoltaic gridconnected system

Y Pang, G Ma, X Xu, X Liu… - Recent Advances in …, 2021 - ingentaconnect.com
Background: Fast and reliable fault detection methods are the main technical challenges
faced by photovoltaic grid-connected systems through Modular Multilevel Converters (MMC) …