Czasopismo | OCHRONA PRZED KOROZJĄ | Rocznik 2013 - zeszyt 8

The correlation method for investigating stray currents - the still non-standard technique

WOJCIECH SOKÓLSKI

nr katalogowy: 78719

The so called correlation technique is being applied in Poland from the eighties of the last century. It is connected with anticorrosion protection technology of metal structures in municipal areas. It is based on simultaneously investigating two mutually interacting signals representing the cause and effect of a corrosion hazard to underground structures. Representation of this dependency in the form of a correlation spectrum has been found to be an extremely convenient tool for rapid and unequivocal interpretation of results during assessment of hazards, as well as the effectiveness of remedial measures. Primarily it found application for analysis of stray current interaction, mainly in municipal agglomerations. Unfortunately, in spite of a wide and already long application period of this technique - it has not been standardised in any way. In the article correlation technique principles and application rules have been reminded, being the result of many years experience, qualifying the method for standardisation. Keywords: stray currents, tests, interferences, correlation, standardisation.1. Introduction At the end of the seventies of the last century fi rst attempts were made with the use of equipment then available to register and use the direct recording technique of the correlation between two voltages in stray current fi eld investigations. Assessment was desired of the corrosion hazard caused by stray currents in towns. The correlation technique was to disclose in a simple and indisputable way how the voltage between electric traction rails and the tested underground metal structure affects the potential change of the structure measured versus a non-polarising reference electrode [1]. Investigating stray currents is quite a diffi cult activity, as all signals representing stray currents that can be measured are stochastic in character. Hence, interpretation of random changes in the function of time of single measure[...]

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