Real-time motor fault detection by 1-D convolutional neural networks

T Ince, S Kiranyaz, L Eren, M Askar… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
… in an accurate, real-time, and cost-effective motor fault detection and early fault alert system.
… 1) We propose a novel approach for motor fault detection using 1-D CNNs that can merge …

Real time fault detection in photovoltaic systems

MH Ali, A Rabhi, A El Hajjaji, GM Tina - Energy Procedia, 2017 - Elsevier
… In this paper, a method for real time monitoring and fault diagnosis … Some faults, such as:
interconnection resistance faults and … be generalized and extended to more types of faults. The …

Real-time fault diagnosis and fault-tolerant control

Z Gao, SX Ding, C Cecati - IEEE Transactions on industrial …, 2015 - ieeexplore.ieee.org
… for real-time fault detection on a three-tank system. In [21], by Geest et al., interturn fault
detection … The proposed fault detection method is suitable for hardware implementation and can …

Real-time fault detection and identification for MMC using 1-D convolutional neural networks

S Kiranyaz, A Gastli, L Ben-Brahim… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
… detect and identify such faults as soon as they occur. In this paper, we propose a real-time
and highly accurate MMC circuit monitoring system for early fault detection and identification …

An evolving approach to unsupervised and real-time fault detection in industrial processes

CG Bezerra, BSJ Costa, LA Guedes… - Expert systems with …, 2016 - Elsevier
… different real world industrial fault detection problems. The first application uses the well known
DAMADICS fault detection benchmark, that provides real … with real industrial instruments. …

Nocalert: An on-line and real-time fault detection mechanism for network-on-chip architectures

A Prodromou, A Panteli, C Nicopoulos… - 2012 45th Annual …, 2012 - ieeexplore.ieee.org
… The NoCAlert mechanism proposed in this work ensures on-line and real-time fault detection
within the NoC, and it guarantees 0% false negatives under the employed fault model. …

Real-time fault detection and diagnosis using sparse principal component analysis

S Gajjar, M Kulahci, A Palazoglu - Journal of Process Control, 2018 - Elsevier
… [23] observed slightly better or comparable fault detection rates as … a fault detection
methodology and, to evaluate its performance, compare average run length (ARL) and fault detection

An efficient neural-network model for real-time fault detection in industrial machine

AK Verma, S Nagpal, A Desai, R Sudha - Neural Computing and …, 2021 - Springer
… aim at presenting a fault detection system to operation … fault detection and diagnosis process
based on the AI technique and signature extraction is more reliable in stator fault detection

Fault detection and faulted line identification in active distribution networks using synchrophasors-based real-time state estimation

M Pignati, L Zanni, P Romano… - … on power delivery, 2016 - ieeexplore.ieee.org
… This paper proposes a novel PMU-based fault detection and location method for ADNs
using real-time state estimation. It consists in parallel SEs characterized by different and aug…

Real-time condition monitoring and fault detection of components based on machine-learning reconstruction model

C Yang, J Liu, Y Zeng, G Xie - Renewable Energy, 2019 - Elsevier
… of a pilot integral component fault detection system are illustrated in Section … real-time
condition monitoring and fault detection To study real-time condition monitoring and fault detection