At present, technical diagnostics of electromechanical systems (EMS) of metallurgical plants to a greater extent solves the tasks of non-destructive testing associated with the search for defects of individual elements [1-17], rather than assess the technical state of the technical system as a whole. This allows the implementation of control and protection functions, according to the classification of diagnostic systems carried out taking into account the main functions performed [4, 5]. Protection systems are oriented to exceeding the permissible values of controlled dimensions. The wear model [6] of failure development is used in control as the main one, and the main evidence of damage is the results of visual inspection (Pic. 1).
The relevance of the use of technical diagnostics methods at metallurgical enterprises is determined by several factors, including an increase in the complexity of technical systems, an increase in the total number of mechanisms controlled by one specialist, an increase in possible costs in case of disruption of the continuity of the technological process, etc. (Fig. 2 a, b, c, d).
If at the beginning of the 20th century, at least three people were involved in the skip winch service, nowadays the number of operators is decreasing, and increase of the psychological burden on them in terms of making decisions about stopping EMS is increasing. Almost one person controls dozens of mechanisms. Repair and maintenance of these machines are carried out by repair services specialists, but the control of the current state, the decision to stop it is entrusted to one person. Limited human capabilities (simultaneous effective control of 7...9 objects, the maximum speed of perceived information, 15 bps, fatigue, etc.) in the analysis of the current situation and management are compensated by the installation of control and protection systems, including diagnostic stationary complexes.
Development of microprocessor technology means, measurement data transfer to the central processor allows to install specialized sensors for the control and diagnostics of the current state of EMS according to the main indicators. For example, diagnostics of the drive of a continuous mill rolling stand requires sensors of temperature, rotational speed, rolling force, flow (rate) of lubricant, torque, vibration, insulation resistance, etc.