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The paper presents objective and subjective evaluation of AAC audio codec realizations in relation to bit rate and resolution. Chosen audio material was coded and decoded using implementation provided by four different vendors and compared to the original audio clips by using EAQUAL software. Two realizations with highest scores were then compared using subjective A/B/X listening test. The different...
This paper describes the realization of an FPGA platform designed for real time acoustic signal acquisition and data processing. The paper presents complete developement process, starting from high level system design including signal integrity simulations to real system measurement results based on described platform. A real system for localization of the dominant noise source based on the platform...
This paper presents architecture of a system for signal acquisition, conditioning and processing, used in partial discharges diagnostics. System uses acoustic method for partial discharges detection, as noninvasive and interference resistant method, which can prevent transformer breakdown due to insulation degradation. The main processing platform is industrial embedded computer based on the newest...
One of the major causes of transformer failures is dielectric breakdown. Partial discharges cause gradual insulation degradation thus partial discharge activity monitoring provides transformer state insight. This paper gives an overview of common methods for partial discharges detection and source location in transformers, with special reference to the acoustic method as non invasive and interference...
Electrical transformers are the most important elements in the process of transmission and distribution of electricity. Depending on the size and position of the transformer, the sudden device failure can cause tremendous damage. Neural networks are widespread technique for transformer health monitoring. Neural Network Ensembles are an advanced neural technique that improves the accuracy and reliability...
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