Investigations Into the Surface Condition of Silicone Rubber Insulation Material Using Multiresolution Signal Decomposition

Identification of Open-Switch and Short-Switch Failure of Multilevel Inverters through DWT and ANN Approach using LabVIEW

“…DWT technique has been found to be efficient to extract features from the output voltage data. Multi resolution signal decomposition analysis (MRA) of DWT aims at ultimately producing a time-scale representation of the given discretized signal x(n) at various decomposition levels [15][16][17][18]. Let c 0 [n] be the original signal sequence.…”

“…This gives an idea of the frequency content in the distorted signal. It is well known that Daubechies 4 wavelet is very much useful in identifying any transition in the signal due to high frequencies and it is successfully applied as a mother wavelet in earlier papers [15][16][17][18]. Therefore Daubechies 4 wavelet has been chosen in the present analysis.…”

“…Standard deviation can be considered as a measure of the energy present in the signal with zero mean. Therefore, standard deviation values are calculated for detailed components to identify the transient energy present in the signal at different level of decomposition (D1 to D9) [15][16][17][18]. Standard deviation of the n th level of detailed signal is calculated using the formula,…”

“…Energy content of the signal obtained from DWT MRA technique is considered as an important feature for the fault diagnosis of multilevel inverter system. [15][16][17][18].…”

“…Discrete Wavelet Transform (DWT) approach is used to extract important features such as energy content of output voltage waveform at different frequency bands [16][17][18]. Real time application of the proposed fault diagnostic system is implemented through LabVIEW software, which is a sophisticated tool for developing and running real time applications.…”