Machine learning based bearing fault diagnosis using the case western reserve university data: A review
X Zhang, B Zhao, Y Lin - Ieee Access, 2021 - ieeexplore.ieee.org
The most important parts of rotating machinery are the rolling bearings. Finding bearing
faults in time can avoid affecting the operation of the entire equipment. The data-driven fault …
faults in time can avoid affecting the operation of the entire equipment. The data-driven fault …
Tackling Industrial Downtimes with Artificial Intelligence in Data-Driven Maintenance
MA Hoffmann, R Lasch - ACM Computing Surveys, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) approaches in industrial maintenance for fault
detection and prediction has gained much attention from scholars and practitioners. This …
detection and prediction has gained much attention from scholars and practitioners. This …
An intelligent approach for bearing fault diagnosis: combination of 1D-LBP and GRA
M Kuncan - Ieee Access, 2020 - ieeexplore.ieee.org
Bearings are vital automation machine elements that are used quite frequently for power
transmission and shaft bearing in rotating machines. The healthy operation of the bearings …
transmission and shaft bearing in rotating machines. The healthy operation of the bearings …
Efficient data reduction at the edge of industrial Internet of Things for PMSM bearing fault diagnosis
An efficient data reduction algorithm is designed and implemented on an industrial Internet
of Things (IIoT) node for permanent magnet synchronous motor (PMSM) bearing fault …
of Things (IIoT) node for permanent magnet synchronous motor (PMSM) bearing fault …
Fault feature extractor based on bootstrap your own latent and data augmentation algorithm for unlabeled vibration signals
Given that vibration fault signals collected from industrial circumstances are usually
insufficient and have no labels, supervised learning networks cannot be directly applied to …
insufficient and have no labels, supervised learning networks cannot be directly applied to …
Bearing fault diagnosis of switched reluctance motor in electric vehicle powertrain via multisensor data fusion
A multisensor data fusion method is investigated for bearing fault diagnosis of a switched
reluctance motor (SRM) of an electric vehicle (EV) powertrain under varying speed …
reluctance motor (SRM) of an electric vehicle (EV) powertrain under varying speed …
Feature engineering and artificial intelligence-supported approaches used for electric powertrain fault diagnosis: A review
Electric powertrain is constituted by electric machine transmission unit, inverter and battery
packs, etc., is a highly-integrated system. Its reliability and safety are not only related to …
packs, etc., is a highly-integrated system. Its reliability and safety are not only related to …
Bearing condition evaluation based on the shock pulse method and principal resonance analysis
Y He, M Hu, K Feng, Z Jiang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Compared with vibration-based measurements, the acceleration-sensor-based shock pulse
method (SPM) has been proven to be more effective, direct, and simple for evaluating the …
method (SPM) has been proven to be more effective, direct, and simple for evaluating the …
Computational intelligence to detect bearing faults using optimal features from motor current signals
G Geetha, P Geethanjali - Systems Science & Control Engineering, 2024 - Taylor & Francis
In recent times, there has been a notable growth in research investigations into the fault
diagnosis of electrical machines. The effective detection of permanent magnet synchronous …
diagnosis of electrical machines. The effective detection of permanent magnet synchronous …
A novel customised load adaptive framework for induction motor fault classification utilising MFPT bearing dataset
This research presents a novel Customised Load Adaptive Framework (CLAF) for fault
classification in Induction Motors (IMs), utilising the Machinery Fault Prevention Technology …
classification in Induction Motors (IMs), utilising the Machinery Fault Prevention Technology …