Arcs Faults Induced Electromagnetic Signals Remote Sensing Study in Frequency Domain

Since Marconi’s radio experiments in addition to several relevant measurement published results through scientific literatures, it is nowadays undeniable evidence that the electric arcs are indeed sources of Electromagnetic (EM) signal frequency energy radiated intensity contents (sferic). Based on this evidence this paper presents the arcs EM sferic sources points triangulation algorithm solution in frequency domain instead of time domain. As these EM sferic sources points triangulation technique is generally referred to as the Radio Measurement (RM) method. Which contrasts with the conventional electric fault monitoring schemes and practices. Thus, these traditional schemes and practices rely on exclusively the arc electric quantities, namely the arc -current and -voltage to decide the existence of the system abnormalities. However, since the power distribution networks landscape is quite huge and unfriendly, therefore the knowledge of the sferic spectrum bands is of critical importance. Because this knowledge of these sferic spectrum bands could help to design efficient wireless sensors devices for the purpose of providing efficient sferic novel monitoring system development. This novel system could be beneficial for both the power utilities and the customers from suffering considerably from these sferic impacts in terms of power outages and economics losses. However, the advantage and benefit of this novel method reside in the fact that it performs a pre-fault conditioning in terms of both the detection and location functions during the sferic earlier stage of formation. Especially when these arcs faults are not detectable by the conventional fault protective switchgears. Thus, reducing the power losses in terms of power outages together with the related economics issues as aforesaid. Moreover, through this novel method, the arc fault exact location can be provided regardless of any Euclidean plane been considered. Thus, reduces also considerably the fault hunting- and restoration- times. In the scientific contribution point of view this paper performs and evaluates several laboratory measurements and experiments which give a satisfactory background for further development of this novel proposed RM method. As this can be tested afterwards on real data. Bearing in mind that another contribution of this paper is that it provides a clear picture of the arc induced sferic spectrum bands which could help to discriminate the arc induced EM sferic from the existing external noises interference. These existing external noises transmitters include the man-made radio-, television-, mobile-, telephone- and several other kinds of broadcasts in addition to the natural phenomena including the lightning-, the solar flares- and corona- noises together with those generated by the neutron stars and black holes to some extent. In fact, most of the studies conducted by most of these aforesaid published scientific literatures were done in a time domain exclusively, especially in this RM field. Hence the limited number of relevant literatures concerning the detail and better understanding of these arcs’ hazards phenomenon. Therefore, unlike these literatures, this paper scrutinizes further these arcs hazards phenomenon nature, characteristics, behavior and properties in a frequency domain exclusively. As a result, it appears that this novel proposed arc faults monitoring system has shown its potential in clarifying the arc fault induced EM sferic detection and location algorithm solutions in frequency domain this time.