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Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults
2017
Frontiers of Mechanical Engineering
However, this component accounts for the most failures (approximately 60% of the total number) in the entire DD-WT system according to statistical data. ...
Electric power conversion system (EPCS), which consists of a generator and power converter, is one of the most important subsystems in a direct-drive wind turbine (DD-WT). ...
The main stator winding faults include inter-turn short circuit, overheating, and insulation failure. The inter-turn short circuit is the foremost fault in the stator windings. ...
doi:10.1007/s11465-017-0442-1
fatcat:ukenx7du4jgljbuoxxilk3xe6m
Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive Review
2020
IEEE Access
., have been successfully applied to the detection and categorization of bearing faults for decades, recent developments in DL algorithms in the last five years have sparked renewed interest in both industry ...
In this paper, we first provide a brief review of conventional ML methods, before taking a deep dive into the state-of-the-art DL algorithms for bearing fault applications. ...
In addition, unlike other motor failures (stator inter-turn, broken rotor bar, etc. ...
doi:10.1109/access.2020.2972859
fatcat:jrrbqanyj5d2vo7kdkdapl6hga
Utilising the Wavelet Transform in Condition-Based Maintenance: A Review with Applications
[chapter]
2012
Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology
Dimitris Roulias for his valuable assistance with many of the figures of this work. ...
., 2008) presented an approach for incipient fault detection of motor-operated valves (MOVs) using DWT with "db4" wavelet and six decomposition levels chosen. ...
In (Zarei and Poshtan, 2007) WPT was used to process stator current signals in order to detect defective bearings at induction motors. ...
doi:10.5772/36166
fatcat:2p25qhpptbdwphozsc2cmzu43i
Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive Review
[article]
2019
arXiv
pre-print
., have been successfully applied to the detection and categorization of bearing faults for decades, recent developments in deep learning (DL) algorithms in the last five years have sparked renewed interest ...
In this paper, we first provide a brief review of conventional ML methods, before taking a deep dive into the state-of-the-art DL algorithms for bearing fault applications. ...
In addition, unlike other motor failures (stator inter-turn, broken rotor bar, etc. ...
arXiv:1901.08247v2
fatcat:3aqshcdumjgjxkpj2o774tw3di
A comprehensive review on convolutional neural network in machine fault diagnosis
[article]
2020
arXiv
pre-print
Last but not least, it is expected that this work would provide convenience and inspire further exploration for researchers in this field. ...
To fill in this gap, this work attempts to review and summarize the development of the Convolutional Network based Fault Diagnosis (CNFD) approaches comprehensively. ...
Incipient Inter-turn Fault Diagnosis in Induction motors using CNN and
LSTM based Methods. In: Editor edito. Pub Place: IEEE; 2018. p. 1-6.
[136] I. Kao, W. Wang, Y. Lai, J. ...
arXiv:2002.07605v1
fatcat:54w3panr35bb7app4y7dfnjeqa
2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70
2021
IEEE Transactions on Instrumentation and Measurement
The Author Index contains the primary entry for each item, listed under the first author's name. ...
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
., +, TIM 2021 3522914 Stator-Winding Incipient Shorted-Turn Fault Detection for Motor System in Motorized Spindle Using Modified Interval Observers. ...
doi:10.1109/tim.2022.3156705
fatcat:dmqderzenrcopoyipv3v4vh4ry
A Review: Prognostics and Health Management in Automotive and Aerospace
2019
International Journal of Prognostics and Health Management
In general, PHM systems use real-time and historical state information of subsystems and components of the operating systems to provide actionable information, enabling intelligent decision-making for ...
This paper aims to summarize and review researches, developments and recent contributions in PHM for automotive and aerospace industries. ...
ACKNOWLEDGEMENTS This work is part of the research programme Smart Industry SI2016 with project name CIMPLO and project number 15465, which is partly financed by the Netherlands Organisation for Scientific ...
doi:10.36001/ijphm.2019.v10i2.2730
fatcat:4xe5ylcxy5boxchrna2bggckba
Discussion on "The mechanical design and specification of the turboalternator rotor"
1918
Journal of the Institution of Electrical Engineers
With a cold-rolled sheet, any incipient fractures that may have been caused cannot be detected, it being impossible to find them by testing and equally impossible to detect them by observation, since they ...
I think flux from the stator enters the end bell more easily on short-circuit than when the machine is running normally, because in the former case the rotor and stator ampere-turns are about equal; whilst ...
doi:10.1049/jiee-1.1918.0038
fatcat:zvbp65yxrzfezkphmyacmlwyp4
Design, organization and implementation of a methods pool and an application systematics for condition based maintenance
2011
CBM, as a preventive and predictive action, strives to identify incipient faults before they become critical through structural condition assessment derived from Different condition monitoring techniques ...
In this frame of thought, monitoring of machinery systems has become progressively more important in meeting the rapidly changing maintenance requirements of today's manufacturing systems. ...
. Stator Faults: Typically, these faults include loose wedges, laminations or core damage and short turns. ...
doi:10.17877/de290r-8839
fatcat:e6ucczbanfa5xmcakt6cepwqze
CERAMIC ABSTRACTS
1930
Journal of The American Ceramic Society
The reason for this is a local unconformity above this zone which indicates a short erosional interval. ...
deposition or a short erosional interval prior to the deposition of the dark shales. ...
doi:10.1111/j.1151-2916.1930.tb16555.x
fatcat:x6glu553trcihidj2tol72kiqu
Real-time sensor data development for smart truck drivetrains
[article]
2018
Introduction v 7.4 A simplified flight control system (Wyss et al., 2012) . 7.5 Modeling framework for multiclock embedded system with heterogeneous behaviors. ...
monitoring machine systems or processes in order to detect and diagnose incipient faults at an early stage. ...
This, in turn, may lead to false alarms and missed detection of system faults from the system-level CBM algorithms. ...
doi:10.15781/t27d2qq83
fatcat:w6phfkxwyvf3rjo4ybstzfv3dq
Abstracts of Papers
1954
Acta Crystallographica
for winding this chart
to left or right; (3) an origin marker whose position in
are lit up instead. ...
To avoid this undesirable effect, we use one more balancing motor. ...
Short-range order above Tc "has been measured for CuaAu and less completely for AuAg, CuAu and CuPt. ...
doi:10.1107/s0365110x54002137
fatcat:c4hkngwd3fh2pdx7wiadsy42ne
Motion planning by genetic algorithm for a redundant manipulator using an evaluation function based on criteria of skilled operators
Proceedings of 1995 IEEE International Conference on Robotics and Automation
Our approach assumes that the object is globally rigid and partially nonrigid during a short interval between 3D snapshots. ...
Simulation results using Modified Hooke-Jeeves Optimization Method show that this controller has short convergence time and quick learning speed and the performance of the closed loop system is very good.Ruggero ...
doi:10.1109/robot.1995.525631
dblp:conf/icra/ShibataATN95
fatcat:vzk3brbh3rh7xaln5vowvqxnue