Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020-01-01
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| Series: | Electrical, Control and Communication Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ecce-2020-0004 |
| _version_ | 1818466001925177344 |
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| author | Solomentsev Oleksandr Zaliskyi Maksym Herasymenko Tetyana Petrova Yuliia |
| author_facet | Solomentsev Oleksandr Zaliskyi Maksym Herasymenko Tetyana Petrova Yuliia |
| author_sort | Solomentsev Oleksandr |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T20:52:33Z |
| format | Article |
| id | doaj.art-5106d87514974121ab3f673e68381f5b |
| institution | Directory Open Access Journal |
| issn | 2255-9159 |
| language | English |
| last_indexed | 2024-04-13T20:52:33Z |
| publishDate | 2020-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Electrical, Control and Communication Engineering |
| spelling | doaj.art-5106d87514974121ab3f673e68381f5b2022-12-22T02:30:26ZengSciendoElectrical, Control and Communication Engineering2255-91592020-01-01161232910.2478/ecce-2020-0004ecce-2020-0004Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment OperationSolomentsev Oleksandr0Zaliskyi Maksym1Herasymenko Tetyana2Petrova Yuliia3Professor, National Aviation University, Kyiv, UkraineAssociate Professor, National Aviation University, Kyiv, UkrainePhD student, National Aviation University, Kyiv, UkraineAssociate Professor, National Aviation University, Kyiv, UkraineThe 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.https://doi.org/10.2478/ecce-2020-0004changepointdata processingdetectiondeteriorationoperation systemradio equipment |
| spellingShingle | Solomentsev Oleksandr Zaliskyi Maksym Herasymenko Tetyana Petrova Yuliia Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation Electrical, Control and Communication Engineering changepoint data processing detection deterioration operation system radio equipment |
| title | Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation |
| title_full | Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation |
| title_fullStr | Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation |
| title_full_unstemmed | Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation |
| title_short | Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation |
| title_sort | method for changepoint detection with sample size accumulation during radio equipment operation |
| topic | changepoint data processing detection deterioration operation system radio equipment |
| url | https://doi.org/10.2478/ecce-2020-0004 |
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