Bibliography on higher-order statistics
Signal Processing
A Fast Fourier Transform for High-Speed Signal Processing
IEEE Transactions on Computers
Classification of surface EMG signal using relative wavelet packet energy
Computer Methods and Programs in Biomedicine
Wavelet neural networks for function learning
IEEE Transactions on Signal Processing
A general regression neural network
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference
Expert Systems with Applications: An International Journal
Fault diagnosis model based on Gaussian support vector classifier machine
Expert Systems with Applications: An International Journal
Car assembly line fault diagnosis based on modified support vector classifier machine
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Application of multiclass support vector machines for fault diagnosis of field air defense gun
Expert Systems with Applications: An International Journal
A novel Artificial Immune System for fault behavior detection
Expert Systems with Applications: An International Journal
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Rotor fault diagnosis system based on sGA-based individual neural networks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part I
Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
Expert Systems with Applications: An International Journal
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
Digital Signal Processing
Journal of Intelligent Manufacturing
Hi-index | 12.07 |
In the present study, a fault diagnosis system is proposed for internal combustion engines using wavelet packet transform (WPT) and artificial neural network (ANN) techniques. In fault diagnosis for mechanical systems, WPT is a well-known signal processing technique for fault detection and identification. The signal processing algorithm of the present system is gained from previous work used for speech recognition. In the preprocessing of sound emission signals, WPT coefficients are used for evaluating their entropy and treated as the features to distinguish the fault conditions. Obviously, WPT can improve the continuous wavelet transform (CWT) used over a longer computing time and huge operand. It can also solve the frequency-band disagreement by discrete wavelet transform (DWT) only breaking up the approximation version. In the experimental work, the wavelets are used as mother wavelets to build and perform the proposed WPT technique. In the classification, to verify the effect of the proposed generalized regression neural network (GRNN) in fault diagnosis, a conventional back-propagation network (BPN) is compared with a GRNN network. The experimental results showed the proposed system achieved an average classification accuracy of over 95% for various engine working conditions.