• Publications
  • Influence
Cascade Neural-Network-Based Fault Classifier for Three-Phase Induction Motor
  • V. Ghate, S. Dudul
  • Engineering, Computer Science
  • IEEE Transactions on Industrial Electronics
  • 1 May 2011
TLDR
We propose the radial-basis-function-multilayer-perceptron cascade-connection NN-based fault-detection scheme for the small and medium sizes of induction motors. Expand
  • 113
  • 6
Optimal MLP neural network classifier for fault detection of three phase induction motor
TLDR
In this paper optimal MLP NN based classifier is proposed for fault detection which is inexpensive, reliable, and noninvasive by employing more readily available information such as stator current. Expand
  • 101
  • 3
Fault Diagnosis of Three Phase Induction Motor Using Neural Network Techniques
  • V. Ghate, S. Dudul
  • Computer Science
  • Second International Conference on Emerging…
  • 16 December 2009
TLDR
Fault diagnosis of induction motor is gaining importance in industry because of the need to increase reliability and to decrease possible loss of production due to machine breakdown. Expand
  • 12
  • 1
Induction machine fault detection using support vector machine based classifier
Industrial motors are subject to various faults which, if unnoticed, can lead to motor failure. The necessity of incipient fault detection can be justified by safety and economical reasons. TheExpand
  • 22
  • 1
  • PDF
Induction Machine Fault Detection Using Generalized Feed Forward Neural Network
Industrial motors are subject to incipient faults which, if undetected, can lead to motor failure. The necessity of incipient fault detection can be justified by safety and economical reasons. TheExpand
  • 8
Daily peak load forecasting using ANN
TLDR
In this paper daily peak load forecasting has been performed for the part of town supplied by 19 distribution feeders on weekdays by taking into consideration the historical maximum load (Lmax) and maximum temperature (Tmax) data. Expand
  • 7
Neural network based breast cancer classifier using electrical impedance
TLDR
In this paper, neural network based classifier is proposed which used the electrical impedance data as input data set. Expand
  • 2
  • PDF
Power optimization of single precision floating point FFT design using fully combinational circuits
TLDR
This paper focused on the design of 32 bit IEEE 754 single precision floating point architecture for 8 point FFT. Expand
  • 1
Neural network based breast cancer classifier using electrical impedance
TLDR
In this paper, neural network based classifier is proposed which used the electrical impedance data as input data set. Expand
  • 1