Results 221 to 230 of about 4,022,723 (284)
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IEEE transactions on energy conversion, 2019
High-frequency modeling of induction machines plays an important role in investigating motor drive electromagnetic interference issues such as stator winding reflected-wave overvoltage and bearing discharging current.
M. Toulabi +4 more
semanticscholar +1 more source
High-frequency modeling of induction machines plays an important role in investigating motor drive electromagnetic interference issues such as stator winding reflected-wave overvoltage and bearing discharging current.
M. Toulabi +4 more
semanticscholar +1 more source
EEMD-based notch filter for induction machine bearing faults detection
, 2018This paper deals with induction machine bearing faults detection based on an empirical mode decomposition approach combined to a statistical tool. In particular, it is proposed an innovative fault detector that is based on the dominant intrinsic mode ...
Y. Amirat +4 more
semanticscholar +1 more source
IEEE transactions on industry applications, 2020
In this article, an effective machine learning-based fault diagnosis method is developed for induction motors driven by variable frequency drives (VFDs). Two identical 0.25 HP induction motors under healthy, single-, and multifault conditions were tested
M. Z. Ali +3 more
semanticscholar +1 more source
In this article, an effective machine learning-based fault diagnosis method is developed for induction motors driven by variable frequency drives (VFDs). Two identical 0.25 HP induction motors under healthy, single-, and multifault conditions were tested
M. Z. Ali +3 more
semanticscholar +1 more source
IEEE transactions on industry applications, 2016
A detailed spiral vector model of the dual-stator brushless doubly fed induction machine is developed, which unifies the steady-state and dynamic analysis into a single-phase basis through introducing complex exponential variables. The modeling method is
Peng Han, M. Cheng, Xinchi Wei, Ning Li
semanticscholar +1 more source
A detailed spiral vector model of the dual-stator brushless doubly fed induction machine is developed, which unifies the steady-state and dynamic analysis into a single-phase basis through introducing complex exponential variables. The modeling method is
Peng Han, M. Cheng, Xinchi Wei, Ning Li
semanticscholar +1 more source
IEEE transactions on industry applications, 2019
In this paper, a practical machine learning-based fault diagnosis method is proposed for induction motors using experimental data. Various single- and multi-electrical and/or mechanical faults are applied to two identical induction motors in lab ...
M. Z. Ali +4 more
semanticscholar +1 more source
In this paper, a practical machine learning-based fault diagnosis method is proposed for induction motors using experimental data. Various single- and multi-electrical and/or mechanical faults are applied to two identical induction motors in lab ...
M. Z. Ali +4 more
semanticscholar +1 more source
2017
A model of computation, the so-called inductive Turing machine, is introduced. In this model, a process of ''computation'' is not required to halt for giving the result. The ''computation capacity'' of inductive T- machines is shown to be strictly stronger than that of usual Turing machines.
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A model of computation, the so-called inductive Turing machine, is introduced. In this model, a process of ''computation'' is not required to halt for giving the result. The ''computation capacity'' of inductive T- machines is shown to be strictly stronger than that of usual Turing machines.
openaire +2 more sources
Proceedings of the Institution of Electrical Engineers, 1971
A novel type of a.c. machine is described which has an asynchronous mode of operation but which does not rely on induced currents or losses in the rotor. It has a polyphase stator winding and a laminated rotor with `directional' magnetic properties, and thus closely resembles a reluctance motor.
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A novel type of a.c. machine is described which has an asynchronous mode of operation but which does not rely on induced currents or losses in the rotor. It has a polyphase stator winding and a laminated rotor with `directional' magnetic properties, and thus closely resembles a reluctance motor.
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2020
Induction Machines Handbook: Steady State Modeling and Performance offers a thorough treatment of steady-state induction machines (IM), the most used electric motor (generator) in rather constant or variable speed drives, forever lower energy consumption and higher productivity in basically all industries, from home appliances, through robotics to e ...
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Induction Machines Handbook: Steady State Modeling and Performance offers a thorough treatment of steady-state induction machines (IM), the most used electric motor (generator) in rather constant or variable speed drives, forever lower energy consumption and higher productivity in basically all industries, from home appliances, through robotics to e ...
openaire +2 more sources
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
IEEE Transactions on Industrial Informatics, 2019We develop a novel deep learning framework to achieve highly accurate machine fault diagnosis using transfer learning to enable and accelerate the training of deep neural network. Compared with existing methods, the proposed method is faster to train and
Siyu Shao +3 more
semanticscholar +1 more source
Induction machine rapid performance tests
2017 IEEE Energy Conversion Congress and Exposition (ECCE), 2017This paper proposes a novel technique that can significantly reduce the time required for induction machines full-load performance test by using the direct dynamometer tests of IEEE Std 112-B. The proposed technique needs only 30-min of a machine run under the full-load condition.
Maher Al-Badri +2 more
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