Buscar
Mostrando ítems 1-10 de 36
Time-frequency analysis combining wavelets and the envelope technique for fault identification in rotary machines
(2013-03-18)
Nowadays the method based on demodulation by envelope finds wide application in industry as a technique for evaluation of bearings and other components in rotating machinery. In recent years the application of Wavelets for ...
Fault identification in distribution lines using intelligent systems and statistical methods
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
Monitoring and fault identification in aeronautical structures using an artmap-fuzzy-wavelet artificial neural network
(2014-01-01)
This paper presents a methodology to perform the monitoring and identification of flaws in aircraft structures using an ARTMAP-Fuzzy-Wavelet artificial neural network. This technique is used in the detection and characterization ...
An approach based on neural networks for identification of fault sections in radial distribution systems
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
Detection and phase identification of inter-turn short-circuit faults in three-phase induction motors using MEMS accelerometer and Hilbert transform
(2021-08-15)
Three-phase induction motors (TIMs) play a key role in the industrial scenario. Due to their robustness, low cost, and efficiency, TIMs have been increasingly used in industrial applications, making them the main source ...
Maximization of the signal impulsiveness combining envelope technique with minimum entropy deconvolution
(2013-10-29)
The application of the HFRT (High-Frequency Resonance Technique), a demodulation based technique, is a technique for evaluation the condition of bearings and other components in rotating machinery. Another technique MED ...
An approach based on neural networks for identification of fault sections in radial distribution systems
(Ieee, 2006-01-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
Diagnosis of bearing faults in induction motors by vibration signals-Comparison of multiple signal processing approaches
(2015-01-01)
Early detection of faults in the bearings of electric motors is vital to reduce maintenance costs of industrial motors. Vibration signal analysis is a well-known and widely used diagnostic approach for bearing fault ...
Diagnosis of Bearing Faults in Induction Motors By Vibration Signals - Comparison of Multiple Signal Processing Approaches
(Ieee, 2015-01-01)
Early detection of faults in the bearings of electric motors is vital to reduce maintenance costs of industrial motors. Vibration signal analysis is a well-known and widely used diagnostic approach for bearing fault ...