Automatic speech recognition systems are developed for translating the signals into corresponding text representation. This translation is used in a variety of applications like voice enabled commands, assistive devices and bots, etc. There significant lack efficient technology Indian languages. In this paper, an wavelet transformer automatic (WTASR) language proposed. The suffer from problem h...

power system overvoltages due to switching, lightning and other disturbances are the main problem for designers of the power transformers. once some frequencies of the incoming surges match with some of the natural frequencies of transformer winding, the resonance phenomenon is expected in transformer winding. the resonant overvoltages may destroy the insulation between turns and cause to insul...

This study proposes a novel method to acquire the navigation signal parameters for Global Navigation Satellite System (GNSS). This method utilizes modified discrete wavelet transformer (MDWT) to reduce operation samples of circular convolution during signal acquisition process and to divide the wavelet space, indicating that the MDWT is better in de-correlation ability and signal acquisition pe...

Preventive maintenance in the transformer is performed through a differential relay protection system, and it protects from internal external faults. However, Current Transformer (CT) system mal-operates during inrush currents. CT saturates due to magnetizing currents causes false tripping of relays. Moreover, identification either current or faults needs be diagnosed. For above problem, contin...

Winding hotspot temperature is the key factor affecting the load capacity and service life of transformers. For the early detection of transformer winding hotspot temperature anomalies, a new prediction model for the hotspot temperature fluctuation range based on fuzzy information granulation (FIG) and the chaotic particle swarm optimized wavelet neural network (CPSO-WNN) is proposed in this pa...

This paper presents the time domain and timefrequency domain analysis results of incipient events in single-phase distribution transformers. This analysis will aid in the development of an automatic detection method for internal incipient faults in the transformers. The detection method can provide information to predict failures ahead of time so that the necessary corrective actions are taken ...

Design of Converter transformer insulation is a major challenge. The insulation of these transformers is stressed by both AC and DC voltages. Particle contamination is one of the major problems in insulation structures, as they generate partial discharges leading it to major failure of insulation. Similarly corona discharges occur in transformer insulation. This partial discharge due to particl...

To identify the DC bias state of transformers, a identification method transformer based on wavelet singular entropy is proposed in this paper. The vibration principle transformers under has been analyzed. By combining continuous transform, value decomposition, and information entropy, analysis proposed. signal before after transformed by then time-frequency diagram compared Furthermore, identi...