<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The operation system determines the efficiency of the intended use of radio equipment. The operation system includes radio equipment, documentation, operational resources, personnel, processes, data processing algorithms, etc. The operation process is associated with conditions of priori uncertainty of models, parameters, external factors, etc. The main element for monitoring is technical condition of radio equipment. In a general case, this condition can deteriorate. The problems of technical condition deterioration analysis can be considered in terms of changepoint study. The present paper concentrates on the problem of synthesis and analysis of method for changepoint detection during radio equipment operation. The detection algorithm is constructed based on Neyman–Pearson criterion with sample size accumulation. During algorithm synthesis the thresholds were calculated according to Bellman’s approach. The problem of synthesis and analysis was solved by two methods: analytically and using statistical modelling. The efficiency measures for this algorithm are the probability of correct detection and mean time of decision making. The proposed algorithm has advantages in mean time of decision making compared with CUSUM detection method.</p></abstract>

The operation system determines the efficiency of the intended use of radio equipment. The operation system includes radio equipment, documentation, operational resources, personnel, processes, data processing algorithms, etc. The operation process is associated with conditions of priori uncertainty of models, parameters, external factors, etc. The main element for monitoring is technical condition of radio equipment. In a general case, this condition can deteriorate. The problems of technical condition deterioration analysis can be considered in terms of changepoint study. The present paper concentrates on the problem of synthesis and analysis of method for changepoint detection during radio equipment operation. The detection algorithm is constructed based on Neyman–Pearson criterion with sample size accumulation. During algorithm synthesis the thresholds were calculated according to Bellman’s approach. The problem of synthesis and analysis was solved by two methods: analytically and using statistical modelling. The efficiency measures for this algorithm are the probability of correct detection and mean time of decision making. The proposed algorithm has advantages in mean time of decision making compared with CUSUM detection method.

Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation

Electrical, Control and Communication Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The operation system determines the efficiency of the intended use of radio equipment. The operation system includes radio equipment, documentation,...

Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation

Publié en ligne: 13 oct. 2020

Pages: 23 - 29

DOI: https://doi.org/10.2478/ecce-2020-0004

Mots clés
Changepoint, Data processing, Detection, Deterioration, Operation system, Radio equipment

© 2020 Oleksandr Solomentsev et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation

Publié en ligne: 13 oct. 2020

Pages: 23 - 29

DOI: https://doi.org/10.2478/ecce-2020-0004

Mots clésChangepoint, Data processing, Detection, Deterioration, Operation system, Radio equipment

© 2020 Oleksandr Solomentsev et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Changepoint, Data processing, Detection, Deterioration, Operation system, Radio equipment