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The development of automation systems for the production facilities of the oil and gas sector comprises several paths, one of which is the introduction of automated monitoring systems that can perform technical diagnostics of the facility in real-time. In many cases, using these systems can improve the reliability of the facility's operations and, in some cases, it facilitates the transition to low-staffed operations. The efficiency of these systems depends on the reliability of the data transferred over measuring channels. This article presents a reliability-control algorithm based on the direct and reverse facility models. It can identify partial probe failures, i.e. the loss of metrological reliability, based on the invariance tests of some parameters, as well as the changes in the parameters of the facility considered. Model construction uses the statistics obtained in normal, pre-emergency, and emergency operating modes of a fuel pump station. Model verification confirmed its adequacy. Using the algorithms considered as additional measuring channel control tools is recommended for any facility.
Краснов et al. (Mon,) studied this question.