STUDY OF INDICATORS OF EFFICIENCY OF OPERATION OF MEANS OF MEASUREMENTS BY THE METHOD OF COMPUTER SIMULATION

• Main Authors: Олександр Володимирович Томашевський, Геннадій Валентинович Сніжной
• Format: Article
• Language: English
• Published: National Aerospace University «Kharkiv Aviation Institute» 2020-08-01
• Series: Авіаційно-космічна техніка та технологія
• Subjects: вимірювальна техніка; показник ефективності засобів вимірювальної техніки; метод комп’ютерного моделювання
• Online Access: http://nti.khai.edu/ojs/index.php/aktt/article/view/1210

The operational efficiency of measuring equipment (ME) is important in determining the cost of maintaining ME. To characterize the operational efficiency of the ME, an efficiency indicator has been introduced, an increase of which will reduce costs caused by the release of defective products due to the use of ME with unreliable indications. Over time, the ME parameters change under the influence of external factors and the ME aging processes inevitably occur, as a result of which the parameters of the ME metrological service system change. Therefore, in the general case, the parameters of the metrological maintenance system of ME should be considered as random variables. Accordingly, the efficiency indicator of measuring instruments is also a random variable, for the determination of which it is advisable to apply the methods of mathematical statistics and computer simulation. The performance indicator depends on the parameters of the metrological maintenance ME system, such as the calibration interval, the time spent by the ME on metrological maintenance, and the likelihood of ME failure-free operation. As a random variable, the efficiency indicator has a certain distribution function. To determine the distribution function of the efficiency indicator and the corresponding statistical characteristics, a computer simulation method was used. A study was made of the influence on the indicator of the effectiveness of the parameters of the metrological maintenance system ME (interesting interval, the failure rate of ME). The value of the verification interval and the failure rate of MEs varied over a wide range typical of real production. The time spent by ME on metrological services is considered as a random variable with a normal distribution law. To obtain random numbers with a normal distribution law, the Box-Muller method is used. After modeling, the statistical processing of the obtained results was done. It is shown that in real production, the efficiency indicator has a normal distribution law and the value of the efficiency indicator with an increase in the calibration interval does not practically change.