Results 51 to 60 of about 3,016 (158)

An Analytical Benchmark of Feature Selection Techniques for Industrial Fault Classification Leveraging Time-Domain Features

Applied Sciences
The growing size and complexity of industrial datasets have intensified the need for efficient fault diagnostics tools. This study addresses the challenge of handling large-scale data by developing a data-driven architecture for fault classification in ...
Meltem Süpürtülü, Ayşenur Hatipoğlu, Ersen Yılmaz   +2 more
doaj   +1 more source

Benchmarking Control Strategies for Multi-Component Degradation (MCD) Detection in Digital Twin (DT) Applications

Computers
Digital Twins (DTs) have become central to intelligent asset management within Industry 4.0, enabling real-time monitoring, diagnostics, and predictive maintenance.
Atuahene Kwasi Barimah, Akhtar Jahanzeb, Octavian Niculita, Andrew Cowell, Don McGlinchey   +4 more
doaj   +1 more source

A comprehensive analysis for wind turbine transformer and its limits in the dissolved gas evaluation

Heliyon
This study employs the PRISMA-A methodology to conduct a systematic review of transformer fault diagnostics using Dissolved Gas Analysis (DGA) data. A comprehensive analysis was performed across four major databases—IEEE, Scopus, ScienceDirect (Elsevier),
Ricardo Manuel Arias Velásquez
doaj   +1 more source

Deep Learning Techniques for Fault Diagnosis in Interconnected Systems: A Comprehensive Review and Future Directions

Applied Sciences
As systems in industry become increasingly interconnected and sophisticated, the task of fault detection and diagnosis becomes significantly more difficult.
Nawel Said, Majdi Mansouri, Rami Al Hmouz, Atef Khedher   +3 more
doaj   +1 more source

Faults, Failures, Reliability, and Predictive Maintenance of Grid-Connected Solar Systems: A Comprehensive Review

Applied Sciences
This paper reviews recent progress in fault detection, reliability analysis, and predictive maintenance methods for grid-connected solar photovoltaic (PV) systems.
Karl Kull, Bilal Asad, Muhammad Amir Khan, Muhammad Usman Naseer, Ants Kallaste, Toomas Vaimann   +5 more
doaj   +1 more source

Open-Circuit Fault Diagnosis for a Modular Multilevel Converter Based on Hybrid Machine Learning

IEEE Access
With the wide application of a modular multilevel converter in various power conversion fields, submodule open-circuit fault diagnostics have attracted increasing attention, as some of the existing diagnosis methods have a single function and limited ...
Yang An, Xiangdong Sun, Biying Ren, Xiaobin Zhang   +3 more
doaj   +1 more source

Fault location and isolation technology for power grid automation based on intelligent algorithms

Energy Informatics
Background Power grid automation is critical for maintaining the stability and reliability of electrical grids. A major challenge in power grid management is identifying and isolating faults quickly and accurately to avoid widespread disruptions ...
Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang   +4 more
doaj   +1 more source

Real time fault diagnosis in industrial robotics using discrete and slantlet wavelet transformations

Scientific Reports
Faults in industrial robotic systems can significantly impact operational performance and reliability, particularly in precision-driven environments.
Muhamad Azhar Abdilatef Alobaidy, Jassim M. Abdul-Jabbar, Mohammed Aly, Reza Hassanpour   +3 more
doaj   +1 more source

Wavelet-Based Health Monitoring Approach for Train Door Actuation Using Motor Current Analysis. [PDF]

Sensors (Basel)
Shiao Y, Gadde P, Bollepelly M.
europepmc   +1 more source

RGB-based visual encoding of vibration data for gearbox fault diagnosis using U-Net segmentation model. [PDF]

PLoS One
Kiliç İ, Karaduman G, Tasar B, Yaman O.   +3 more
europepmc   +1 more source