Abstract:
Reliability of functioning of ship electric equipment substantially depends on its technical condition. While in service as a result of influence of various factors, modes and working conditions the initial technical condition of electric equipment continuously worsens, the probability of occurrence of refusals increases. Searching for defect is realized on the base of the measurements and analysis of diagnostic parameters, number of which can be big enough, but requirements to speed and accuracy of the measurements are very hard. One of the directions defining improvement of quality of information technology of the control and diagnostics of technical condition, it is necessary to consider intellectualization of the processes of processing of the diagnostic information with the use of technology of expert systems which are capable to provide improvement of quality of recognition of technical condition of the object.
Keywords:diagnostics, ship electric equipment, modelling, artificial neural networks, indistinct managerial.