Learning control system of lifting machine motors
Journal Title: Журнал інженерних наук - Year 2016, Vol 3, Issue 2
Abstract
Process automation control by diagnostic electric motors in operation conditions allows to reduce to a minimum the damage from these consequences due to early detection of defects. The theory of diagnosticof lifting machine motors has not been completely developed yet. In practice, the control of technical state of the motors is mainly performed during scheduled maintenance, which does not reveal to detect originating defects and to prevent significant damage of motors up to their complete failure. The difficulty of obtaining diagnostic information is that the main functional units of electric motors are dependent. This means that physical damage in any unit results in malfunctions of other units. The main way of increasing the efficiency of the automated control system of lifting machine motors is giving it the properties of adaptability on the basis of ideas and methods of machine learning and pattern recognition. To increase the operational reliability and service life of a mine electric lifting machines the article offers an information and machine learning algorithm for extreme functional control systems with electric hyprnspherical classifier. Normalized Shannon entropy measure was used as a criterion for functional efficiency of leaning systems of the functional control.
Authors and Affiliations
V. Zimovets, A. Chirva, O. Marishchenko
Keywords
Related Articles
- EP ID EP237793
- DOI -
- Views 97
- Downloads 0
New approach in form cutter profiling
The universal algorithm, independent of geometric parameters of detail and required cutter type, becomes relevant within using modern computing means. Following this argument the universal mathematical model, which gener...
Improvement of the Vacuum Cooling System for Biodiesel Production
The article deals with the actual problem of improving the vacuum cooling efficiency systems during the biodiesel production by using vacuum devices account for the liquid-vapor ejector, which operates on the principle o...
Kalman Filter Based Controlled Online System Identification
In the development of model predictive controllers a significant amount of time and effort is necessary for the development of the empirical control models. Even if on-line measurements are available, the control models...
Design and Analysis of Connecting Tie Rod Assembly for Automotive Application
The tie rod end is one of the most elementary parts of a steering mechanism, which has direct and crucial importance in terms of driving safety. The tie rod end is used to ensure that the wheels are aligned. It provides...
Characterization and Degradation of Viton Fuel Hose Exposed to Blended Diesel and Waste Cooking Oil Biodiesel
Degradation and material incompatibility between biodiesel and fuel system are the major concern associated with the adoption of biodiesel. In this research, effects of different mixture of waste cooking oil biodiesel/di...