The signal-oriented test system model of automated test systems and its identification technology
In order to improve the test capability of automated test systems to deal with complex systems, the concept of a signal-oriented test system model was proposed to guide the design of test systems and the implementation of test work and to analyze the test results. First, a method for establishing si...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-09-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294019847714 |
| _version_ | 1797995956486012928 |
|---|---|
| author | Xu Dong Zhang Gaofei |
| author_facet | Xu Dong Zhang Gaofei |
| author_sort | Xu Dong |
| collection | DOAJ |
| description | In order to improve the test capability of automated test systems to deal with complex systems, the concept of a signal-oriented test system model was proposed to guide the design of test systems and the implementation of test work and to analyze the test results. First, a method for establishing signal-oriented test system model is proposed, which is based on IEEE 1641 standard, and combined with the unit under test requirements and test objectives. Second, corresponding verification methods are proposed in the mathematical domain and signal domain. Finally, a verification method based on gene expression programming algorithm is designed to verify the complex signal-oriented test system model. In addition, the battery charge regulator module of the NS2 satellite verified the effectiveness of the signal-oriented test system model. Compared with the traditional identification method, the identification accuracy of the simple system (with mathematical model) has been significantly improved; for complex systems (no mathematical model), the traditional method is difficult to work, and the gene expression programming algorithm still has a good effect. The actual verification shows that the signal-oriented test system model, which combines the advantages of the mathematical model and the physical model, can well represent the testing requirements of the complex system. |
| first_indexed | 2024-04-11T10:08:42Z |
| format | Article |
| id | doaj.art-c15fc7a679fa4b21a36202352f8c6169 |
| institution | Directory Open Access Journal |
| issn | 0020-2940 |
| language | English |
| last_indexed | 2024-04-11T10:08:42Z |
| publishDate | 2019-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Measurement + Control |
| spelling | doaj.art-c15fc7a679fa4b21a36202352f8c61692022-12-22T04:30:09ZengSAGE PublishingMeasurement + Control0020-29402019-09-015210.1177/0020294019847714The signal-oriented test system model of automated test systems and its identification technologyXu DongZhang GaofeiIn order to improve the test capability of automated test systems to deal with complex systems, the concept of a signal-oriented test system model was proposed to guide the design of test systems and the implementation of test work and to analyze the test results. First, a method for establishing signal-oriented test system model is proposed, which is based on IEEE 1641 standard, and combined with the unit under test requirements and test objectives. Second, corresponding verification methods are proposed in the mathematical domain and signal domain. Finally, a verification method based on gene expression programming algorithm is designed to verify the complex signal-oriented test system model. In addition, the battery charge regulator module of the NS2 satellite verified the effectiveness of the signal-oriented test system model. Compared with the traditional identification method, the identification accuracy of the simple system (with mathematical model) has been significantly improved; for complex systems (no mathematical model), the traditional method is difficult to work, and the gene expression programming algorithm still has a good effect. The actual verification shows that the signal-oriented test system model, which combines the advantages of the mathematical model and the physical model, can well represent the testing requirements of the complex system.https://doi.org/10.1177/0020294019847714 |
| spellingShingle | Xu Dong Zhang Gaofei The signal-oriented test system model of automated test systems and its identification technology Measurement + Control |
| title | The signal-oriented test system model of automated test systems and its identification technology |
| title_full | The signal-oriented test system model of automated test systems and its identification technology |
| title_fullStr | The signal-oriented test system model of automated test systems and its identification technology |
| title_full_unstemmed | The signal-oriented test system model of automated test systems and its identification technology |
| title_short | The signal-oriented test system model of automated test systems and its identification technology |
| title_sort | signal oriented test system model of automated test systems and its identification technology |
| url | https://doi.org/10.1177/0020294019847714 |
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