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Modeling, Control and Diagnosis of Electrical Machines and Devices

At present, the growing use of electric machines and drives in more critical applications has driven research on condition monitoring and fault tolerance. The condition monitoring of electrical machines has a very important impact in the field of electrical systems maintenance, mainly for its potent...

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में बचाया:
स्वरूप: Online
भाषा:अंग्रेज़ी
प्रकाशित: MDPI - Multidisciplinary Digital Publishing Institute 2024
विषय:
electric vehicles
regenerative braking
inverse optimal control
buck–boost converter
neural identifier
combined modes ensemble empirical mode decomposition
KMAD indicator
three-sigma rule
enhanced minimum entropy deconvolution
rolling element bearing faults
fault detection
electric vehicle
synchronous reluctance machine
field-oriented control
maximum torque per ampere
optimal current calculation
sliding mode control
torque ripple minimization
stator winding unbalance fault
external rotor permanent magnet synchronous motor
fault harmonics
diagnosis
lack of turns
analytical approach
finite element analysis
variable reluctance motor
optimization problems
reinforcement learning (RL)
adaptive dynamic programming (ADP)
neural network (NN)
machine learning method
synchronous condenser
unbalanced voltage
inter-turn short circuit in excitation windings
finite element
fault analysis
stator parallel currents
hub machine
dual permanent magnet vernier (DPMV)
air-gap field modulation
torque
induction motors
interharmonics
mains communication voltage
power quality
ripple control
vibration
induction motor drive
fault diagnosis
stator winding fault
supply voltage unbalance
ARM Cortex
embedded system
high-frequency common mode current
inverter-fed motors
insulation monitoring
n/a
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ऑनलाइन पहुंच:ONIX_20240704_9783725813391_163
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समान संसाधन: Modeling, Control and Diagnosis of Electrical Machines and Devices

समान संसाधन