The viscosity tester for oil analysis and analysis has the advantages of analysis and data processing automation. Until now, it has been found that there is a photoelectric part and a temperature control system with a high failure rate. For this reason, for the different faults, the photoelectric part is proposed separately, the temperature control circuit is improved, the number of shutdowns is reduced, and the normal operation of the analysis is ensured.
First, observe whether the heating indicator is off when the predetermined temperature is reached. If the control circuit is normal, the sealed relay should be checked and the contacts should be disconnected. If the relay should be replaced constantly, or replace the sensor or solid state relay. If the temperature control indicator does not go out, replace the temperature control circuit board or solid state relay. After careful inspection, it was found that the stirring motor did not turn. After removing the inspection, it was found that the shaft was stuck and the motor winding had been opened. After replacing a motor of the same model, the viscometer returned to normal.
The optimal control, adaptive control and self-learning control of viscosity tester involve multi-parameter and multi-variable complex control systems, which all belong to the research of modern control theory. Judgment of the stability of the system, the study of complex mathematical models affecting the control of various factors, etc., must be coordinated by all parties to achieve. The above-mentioned various controls may be single or combined in several forms to achieve control over the production process. This should be determined in the system analysis and system design for the actual situation of the controlled object.
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