Frontiers

Robust fault detection in electrochemical energy storage systems under label noise: applications to lithium-ion batteries and transformer windings

Reliable fault detection is essential for ensuring the safe and efficient operation of electrochemical energy storage systems, including lithium-ion batteries and transformer. However, the performance ...
IEEE

Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework

Abstract: Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification ...
IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
Scientific Research Publishing

Mian, T., Choudhary, A. and Fatima, S. (2023) Multi-Sensor Fault Diagnosis for Misalignment and Unbalance Detection Using Machine Learning. IEEE Transactions on Industry ...

ABSTRACT: In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving ...
Scientific Research Publishing

Research on Fault Detection and Classification of Industrial Equipment Based on Machine Learning ()

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...