The Influence of the Method of Adaptive Self-Diagnosis on the Process of Preventing the Consequences of Module Failures Enterprise Information System

Abstract

The study continues the properties of functional stability. Functional stability means the property of an information system to maintain its functioning, possibly with a decrease in quality, for a specified time under the influence of external and internal destabilizing factors. External and internal destabilizing factors are failures, failures of system modules, mechanical damage, thermal effects, errors of service personnel. The main stages of ensuring functional stability are the detection of the module that failed in the control, diagnosing the module that failed and the restoration of the information system of the enterprise. The peculiarity of enterprise information systems is that they must function autonomously. With their help, the systems can increase the productivity of all production centers while reducing the number of people employed in production and significantly reducing the share of manual labor. The paper investigates how, based on the functional dependence of failure probability on a certain probability value at different values, the probability of control error of the second kind can determine the recommended interval of the result, which will provide, given the intensity of readiness control allowable failure probability. It is illustrated how at a given intensity of the result it is possible to determine such an intensity of readiness control at which the probability of skipping will not exceed the maximum allowable value. It is shown that we can talk about the weak dependence of the probability of skipping on the control error of the second kind, which means that the achievement of a given control reliability is based on the intensity of readiness control and less depends on the reliability of individual basic checks. For the case when in the intervals between the issuance of the result the system checks the readiness of the modules is randomly described the method of calculating the probability of skipping.