An experimental comparative evaluation of machine learning techniques for motor fault diagnosis under various operating conditions

I Martin-Diaz, D Morinigo-Sotelo… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
… -based methods for automatic rotor fault diagnosis of induction motors. This paper … fault
identifications. The classifiers are tested with data obtained under different operating conditions

A novel fault diagnosis method for early faults of PMSMs under multiple operating conditions

T Peng, C Ye, C Yang, Z Chen, K Liang, X Fan - ISA transactions, 2022 - Elsevier
… Early fault diagnosis method under multiple operating conditions (OCs) is very important to
… early fault diagnosis method for irreversible demagnetization fault and inter-turn short fault

Fault diagnosis of bearing in wind turbine gearbox under actual operating conditions driven by limited data with noise labels

N Huang, Q Chen, G Cai, D Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
fault diagnosis under actual operating conditions is insufficient. Hence, a new method for
the fault diagnosis of wind turbine gearbox bearings under actual operating conditions is …

Artificial neural network–based fault diagnosis for induction motors under similar, interpolated and extrapolated operating conditions

A Chouhan, P Gangsar, R Porwal… - Noise & Vibration …, 2021 - journals.sagepub.com
fault diagnosis is suffering due to the lack of availability of data at all the operating conditions
… the ANN-based fault diagnosis scheme for IM operating at interpolated and extrapolated …

Multiple-fault diagnosis in induction motors through support vector machine classification at variable operating conditions

JD Martínez-Morales, ER Palacios-Hernández… - Electrical …, 2018 - Springer
… This work presents a fault diagnosis strategy for induction motors based on … conditions (healthy,
misalignment, unbalanced rotor and bearing damage) at variable operating conditions (…

Learn generalization feature via convolutional neural network: A fault diagnosis scheme toward unseen operating conditions

Y Yang, J Yin, H Zheng, Y Li, M Xu, Y Chen - IEEE Access, 2020 - ieeexplore.ieee.org
… on the scenario that the fault diagnosis tasks on the unseen operating conditions. First, the …
operating conditions while the testing samples are collected from unseen operating conditions

Data-driven fault diagnosis of FW-UAVs with consideration of multiple operation conditions

S Liang, S Zhang, Y Huang, X Zheng, J Cheng, S Wu - ISA transactions, 2022 - Elsevier
… with multiple operation conditions directly with a single model. In this section, we construct
the fault diagnosis models for all the operation conditions to achieve precise online diagnosis. …

Deep transfer learning for rolling bearing fault diagnosis under variable operating conditions

C Che, H Wang, Q Fu, X Ni - Advances in Mechanical …, 2019 - journals.sagepub.com
… rolling bearings fault diagnosis under variable operating conditions. … fault diagnosis. To
improve the generalization of convolutional neural network under variable operating conditions, …

An adaptive weighted multiscale convolutional neural network for rotating machinery fault diagnosis under variable operating conditions

H Qiao, T Wang, P Wang, L Zhang, M Xu - Ieee Access, 2019 - ieeexplore.ieee.org
… ability of the fault diagnosis model under variable operating conditions, an adaptive weight
fault sensitive features and suppress features that are sensitive to operating conditions. 3) …

On cross-domain feature fusion in gearbox fault diagnosis under various operating conditions based on transfer component analysis

J Xie, L Zhang, L Duan, J Wang - 2016 ieee international …, 2016 - ieeexplore.ieee.org
fault, which may lead to inaccurate resampling; 3) the process of resampling is complex …
faulttolerant. In fact, the existing methods of fault diagnosis under various operating condition