Dislocated time series convolutional neural architecture: An intelligent fault diagnosis approach for electric machine
In most current intelligent diagnosis methods, fault classifiers of electric machine are built
based on complex handcrafted features extractor from raw signals, which depend on prior …
based on complex handcrafted features extractor from raw signals, which depend on prior …
Motor fault diagnosis using attention mechanism and improved adaboost driven by multi-sensor information
Z Long, X Zhang, L Zhang, G Qin, S Huang, D Song… - Measurement, 2021 - Elsevier
Fault diagnosis driven by the single signal has been widely used in motor fault diagnosis,
but it can not meet the diagnostic requirements of complex motor system. In this study, a …
but it can not meet the diagnostic requirements of complex motor system. In this study, a …
Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy
X Chen, Y Yang, Z Cui, J Shen - Energy, 2019 - Elsevier
The bearing vibration of wind turbines is nonlinear and non-stationary. To effectively extract
bearing vibration signal features for fault diagnosis, a method of feature vector extraction …
bearing vibration signal features for fault diagnosis, a method of feature vector extraction …
Eccentricity fault diagnosis indices for permanent magnet machines: state‐of‐the‐art
Eccentricity fault with 10% severity is probably the only existing fault in a brand new healthy
electrical machine that is acceptable as a manufacturing tolerance. This fault can be …
electrical machine that is acceptable as a manufacturing tolerance. This fault can be …
Review of condition-based maintenance strategies for offshore wind energy
The existing maintenance strategies of offshore wind energy are reviewed including the
specific aspects of condition-based maintenance, focusing on three primary phases, namely …
specific aspects of condition-based maintenance, focusing on three primary phases, namely …
Study of a combined demagnetization and eccentricity fault in an AFPM synchronous generator
This article investigates the combined partial demagnetization and static eccentricity fault in
an Axial Flux Permanent Magnet (AFPM) Synchronous Generator. The machine is simulated …
an Axial Flux Permanent Magnet (AFPM) Synchronous Generator. The machine is simulated …
Detection and modelling of incipient failures in internal combustion engine driven generators using electrical signature analysis
PL Mendonça, EL Bonaldi, LEL de Oliveira… - Electric Power Systems …, 2017 - Elsevier
Condition-based maintenance of electric generators have been gaining increasing
importance due to the electricity demand and the criticality that this equipment represents to …
importance due to the electricity demand and the criticality that this equipment represents to …
The Neutral Voltage Difference Signal as a Means of Investigating Eccentricity and Demagnetization Faults in an AFPM Synchronous Generator
AC Barmpatza - Machines, 2023 - mdpi.com
This article investigates the neutral voltage difference signal, VNO signal, for fault diagnosis.
The aforementioned signal is the signal of the voltage between the common star point of the …
The aforementioned signal is the signal of the voltage between the common star point of the …
Investigation of the combined eccentricity and demagnetization fault in an AFPMSG
This paper investigates the partial demagnetization fault and the combined partial
demagnetization and eccentricity fault in an Axial Flux Permanent Magnet Synchronous …
demagnetization and eccentricity fault in an Axial Flux Permanent Magnet Synchronous …
Deployment of onshore wind turbine generator topologies: Opportunities and challenges
At the end of 2018 the total global installed wind turbine capacity stood at approximately 592
GW; 96% of these installations are located onshore. Yet, an additional 267 GW of onshore …
GW; 96% of these installations are located onshore. Yet, an additional 267 GW of onshore …