engleski

Blind Source Separation as an Extraction Tool of the Useful Diagnostic Material in On Load Tap Changer Audio Based Diagnostics

Audio-based machinery fault diagnostics has a lot of particularities when compared to similar (non-invasive) diagnostic methods. These particularities are most evident in the unavoidable influence of the machine environment which is reflected through a mixture of the useful diagnostic material with surrounding sounds. On the other hand, there are several obvious advantages of this approach. For instance, a recording microphone can be installed at a certain distance from the tested object, ensuring the complete non- invasiveness of the measuring process. This paper analyses the influence of the surrounding environment in audio-based On-Load Tap Changer transformer diagnostics as well as the ability to apply statistical methods for the purpose of extracting useful diagnostic material that can be used for its condition assessment.

OLTC ; audio based diagnostics ; blind source separation ; independent component analysis ; BSS ; FastICA ;

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