A method is given for calculating the monitoring reliability parameters (MRP)for an engineering system with allowance for the drift in the measurement error of the means of measurement (MMEfficient operation of complex equipment would be impossible without appropriate state monitoring by means of means of measurement (MM). One of the major aspects in metrological support to engineering systems is that of reliability parameter monitoring. The importance of that topic is indicated by the numerous papers constantly being published, which reflect many different aspects of monitoring reliability.For example, in [1][2][3][4][5], general aspects are considered and approaches are given for calculating monitoring reliability parameters MRP for measurement systems. In [4, 5], there are discussions on choosing and using a system of MRP, while in [6, 7], methods are given for calculating the reliability parameters for multiparameter monitoring on complicated equipment, and [4, 8] deal with estimating the reliability in repeated monitoring of the parameter ranges.A major aspect concerns the influence from various destabilizing factors, which can affect the state throughout the working life of the equipment. Some researchers [4, 5, 8] aging or factors associated with variable tolerance limits (due to random errors in comparators), but there remains the open question of how the MRP are affected by drift in the error of the MM used in state monitoring.Here we present a way of calculating the MRP on the basis of the variability in the error of the MM due to natural aging.As MRP we take the conditional probabilities of spurious failure a and unobserved failure/3 in monitoring a parameter, which are given by standard formulas [1][2][3][4][5]:
On-line training methods while training the specialists in the higher school is analysed; visual data analysis in information systems is considered; methods of qualitative evaluation of the on-line analytical processing methods effective use are presented. Basing on the analysed material we drew a conclusion that the advantages of combining consist in the combination of different methods of visualization in order to overcome disadvantages of one o them.
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