Methodology of Automated Monitoring and Control of Pump Complex Operation Modes in Conditions of Cavitation Occurrence

2021 ◽  
Vol 22 (9) ◽  
pp. 468-474
Author(s):  
A. G. Lutov ◽  
M. B. Novozhenin

The results of solving the problem of increasing the efficiency of an automated pumping complex for pumping liquids in conditions of non-stationary hydraulic processes, such as cavitation, are presented. The difficulty of determining the conditions for the occurrence of cavitation is associated with a large number of parameters, the mutual correlation of which is difficult to determine. It is shown that the methods used in practice in these conditions for monitoring and controlling pumping complexes based on centrifugal pumps and adjacent pipelines have significant disadvantages or solve the problem only partially. A mathematical model of the pump complex operation for operational control of the parameters of cavitation modes based on the similarity of the modes of operation of the centrifugal pump and the movement of the piston through the pipeline is presented, which simplifies the procedure for determining the presence of cavitation. A criterion for determining the efficiency of the pump complex operation mode is proposed based on an integral assessment of the difference between experimental and model data. A methodology for controlling the modes of operation of the pumping complex in the conditions of cavitation is formed. Due to the complexity of the direct calculation of the cavitation volume, a neural network model was proposed, trained based on experimental data. The structure, algorithms and software of the automated control and control system are developed using neural network models and a case-based approach to quickly determine the conditions for the occurrence of cavitation and correct the operating modes of the pumping complex. Decisions based on case — based reasoning are offered to the operator in the form of a "control effect-expected result" pair. The practical implementation of the automated system for monitoring and controlling the operating modes of the pumping complex is carried out in the AppDesigner package of the Matlab mathematical package. The use of the developed automated monitoring and control system provides an increase (restoration) of the pump complex performance in the conditions of cavitation, prevents the destruction of its elements, increases the service life, reduces operating costs and equipment repair costs.

Author(s):  
Elena Zubrilina ◽  
Ilya Markvo ◽  
Vitaly Novikov ◽  
Andrey Beskopylny ◽  
Lyudmila Vysochkina ◽  
...  

2015 ◽  
Vol 14 (3) ◽  
pp. 168-185 ◽  
Author(s):  
Rebecca B. Burrell ◽  
Andrew G. Keppel ◽  
Virginia M. Clark ◽  
Denise L. Breitburg

Author(s):  
Catherine M. Graichen ◽  
William E. Cheetham

Effective maintenance, repair and design improvements of gas turbines require the classification of turbine automatic shutdown events into actionable categories. In particular, analysis is required at two distinct points in the life cycle of a shutdown event. The first evaluation is at the time of the shutdown when an initial assessment of the cause and the appropriate action must be decided as quickly as possible to return the turbine to service. At the time of the event, the primary sources of data are information collected from the sensors and control system. A second assessment is often performed as a post-event evaluation using additional information to validate the cause. General Electric created Case-Based Reasoning (CBR) tools to perform these classifications automatically. The first CBR tool, which works at the time of the event, was deployed in 2004. The second CBR tool was placed in operation in 2006.


2019 ◽  
pp. 41-48
Author(s):  
Yan Guojun ◽  
Oleksiy Kozlov ◽  
Oleksandr Gerasin ◽  
Galyna Kondratenko

The article renders the special features of the design of a tracked mobile robot (MR) for moving over inclined ferromagnetic surfaces while performing specified technological operations. There is conducted a synthesis of the functional structure and selective technological parameters (such as control coordinates) of the computerized monitoring and control system (CMCS) intended for use with this MR. Application of the CMCS with the proposed functional structure allows substantially increasing the accuracy of the MR monitoring and control, which in turn provides for a considerable enhancement in the quality and economic efficiency of the operations on processing of large ferromagnetic surfaces.


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