Use of methods of artificial intelligence for assessment of technical condition of the propulsion and steering column (PSC) according to vibration characteristics

The detailed characteristic of the main sources of the increased vibration in PSC is done. Basic frequencies of sources of vibration of PSC are calculated. By results of stand tests identification of sources of vibration is carried out. By means of neural network methods the algorithm of diagnostics of technical condition of PSC according to vibrational characteristics is developed.