Dissolved gas analysis principle-based intelligent approaches to fault diagnosis and decision making for large oil-immersed power transformers: A survey
L Cheng, T Yu - Energies, 2018 - mdpi.com
Compared with conventional methods of fault diagnosis for power transformers, which have
defects such as imperfect encoding and too absolute encoding boundaries, this paper …
defects such as imperfect encoding and too absolute encoding boundaries, this paper …
An application of back propagation neural network for the steel stress detection based on Barkhausen noise theory
P Wang, L Zhu, Q Zhu, X Ji, H Wang, G Tian, E Yao - Ndt & E International, 2013 - Elsevier
A new method for stress testing based on the theory of Barkhausen noise has been
introduced using changing feature values for monitoring stress and temperature. However …
introduced using changing feature values for monitoring stress and temperature. However …
Selection of most relevant input parameters using WEKA for artificial neural network based concrete compressive strength prediction model
S Saad, M Ishtiyaque, H Malik - 2016 IEEE 7th Power India …, 2016 - ieeexplore.ieee.org
In this paper, a novel approach to predict concrete compressive strength (CCS) at high
strength level using artificial neural network (ANN) is proposed. The proposed approach is …
strength level using artificial neural network (ANN) is proposed. The proposed approach is …
Forearm movements classification of EMG signals using Hilbert Huang transform and artificial neural networks
Vast information regarding muscle activity for clinical and engineering applications can be
obtained via the EMG (Electromyogram). EMG signal are acquired through surface …
obtained via the EMG (Electromyogram). EMG signal are acquired through surface …
Application of Waikato environment for knowledge analysis based artificial neural network models for wind speed forecasting
The installation of wind turbine in a particular location in India is based on the wind speed
prediction. The wind speed can be predicted using different models. The maximum …
prediction. The wind speed can be predicted using different models. The maximum …
Temperature Field Online Reconstruction for In‐Service Concrete Arch Dam Based on Limited Temperature Observation Data Using AdaBoost‐ANN Algorithm
Z Chen, D Zheng, J Li, X Wu… - Mathematical Problems in …, 2021 - Wiley Online Library
Temperature is one of the factors affecting the safety operation of concrete arch dams. To
accurately reconstruct the temperature field of the concrete arch dam online based on the …
accurately reconstruct the temperature field of the concrete arch dam online based on the …
Artificial neural network based intelligent model for wind power assessment in India
Wind resource assessment is essential to evaluate the future wind power generation from a
wind farm. As wind power generation depends directly on wind speed, therefore accurate …
wind farm. As wind power generation depends directly on wind speed, therefore accurate …
Application of neuro-fuzzy scheme to improve purchasing process in a hospital
N Fatema - Journal of Intelligent & Fuzzy Systems, 2018 - content.iospress.com
Quality management is for providing better resources to the customers. It is applicable for
hospitals for giving best services. QM has an initiative ie FMEA, which is applicable in the …
hospitals for giving best services. QM has an initiative ie FMEA, which is applicable in the …