Zerrendatu honen arabera: gaia "fault detection"
5-tik 1-5 emaitza erakusten
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Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
(MDPI, 2021)Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ... -
Data-Driven Fault Diagnosis for Electric Drives: A Review
(MDPI, 2021)The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has ... -
Data‐Driven Low‐Frequency Oscillation Event Detection Strategy for Railway Electrification Networks
(MDPI, 2023)Low-frequency oscillations (LFO) occur in railway electrification systems due to the incorporation of new trains with switching converters. As a result, the increased harmonic content can cause catenary stability problems ... -
DC-link sensor Fault Detection and isolation for railway traction electric drives
(IEEE, 2017)This article presents the design and the implementation of a fault detection and isolation strategy for sensors in variable speed drives. Electric drives use several current and voltage sensors for control and protection. ... -
Machine Learning-Based Fault Detection and Diagnosis of Faulty Power Connections of Induction Machines
(MDPI, 2021)Induction machines have been key components in the industrial sector for decades, owing to different characteristics such as their simplicity, robustness, high energy efficiency and reliability. However, due to the stress ...