TY - GEN
T1 - Development of reliability evaluation test platform for three-phase inverter
AU - Su, Lianyu
AU - Chen, Cen
AU - Du, He
AU - Zhai, Guofu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In the reliability assessment test of three-phase inverter, the accurate measurement of its output performance parameters and internal key node characteristics parameters is crucial, which can comprehensively reflect its health status and accurately assess its reliability. The paper will examine the EMC and signal integrity challenges associated with three-phase inverters, as well as the hardware components of an automated test platform using simulation modeling. Furthermore, it will entail the development of Python-based software for the automated test platform to improve the efficiency of measuring key output parameters of three-phase inverters. Firstly, based on the component structure and circuit topology of three-phase inverter, the sensitivity analysis method is used to analyze the automatic test requirements of three-phase inverter step by step, and the key output parameters need to be measured are determined. Secondly, a parameter automatic test hardware circuit is designed in accordance with the identified requirements. The electromagnetic interference and signal integrity of the designed circuit are analyzed using ANSYS SIwave, followed by an optimization of the design. Finally, the upper computer design of the three-phase inverter parameter automatic test platform is developed based on Python. The repeated test accuracy of the key output parameters of the three-phase inverter is greater than 9 0 %, and the automatic test error is less than 10 %, which can realize the accurate fault measurement of the three-phase inverter, improve the reliability of data measurement, and meet the actual use requirements.
AB - In the reliability assessment test of three-phase inverter, the accurate measurement of its output performance parameters and internal key node characteristics parameters is crucial, which can comprehensively reflect its health status and accurately assess its reliability. The paper will examine the EMC and signal integrity challenges associated with three-phase inverters, as well as the hardware components of an automated test platform using simulation modeling. Furthermore, it will entail the development of Python-based software for the automated test platform to improve the efficiency of measuring key output parameters of three-phase inverters. Firstly, based on the component structure and circuit topology of three-phase inverter, the sensitivity analysis method is used to analyze the automatic test requirements of three-phase inverter step by step, and the key output parameters need to be measured are determined. Secondly, a parameter automatic test hardware circuit is designed in accordance with the identified requirements. The electromagnetic interference and signal integrity of the designed circuit are analyzed using ANSYS SIwave, followed by an optimization of the design. Finally, the upper computer design of the three-phase inverter parameter automatic test platform is developed based on Python. The repeated test accuracy of the key output parameters of the three-phase inverter is greater than 9 0 %, and the automatic test error is less than 10 %, which can realize the accurate fault measurement of the three-phase inverter, improve the reliability of data measurement, and meet the actual use requirements.
KW - Three-phase inverter
KW - automatic test platform
KW - electromagnetic compatibility
KW - signal integrity
UR - https://www.scopus.com/pages/publications/85215265236
U2 - 10.1109/SRSE63568.2024.10772556
DO - 10.1109/SRSE63568.2024.10772556
M3 - 会议稿件
AN - SCOPUS:85215265236
T3 - 2024 6th International Conference on System Reliability and Safety Engineering, SRSE 2024
SP - 434
EP - 442
BT - 2024 6th International Conference on System Reliability and Safety Engineering, SRSE 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on System Reliability and Safety Engineering, SRSE 2024
Y2 - 11 October 2024 through 14 October 2024
ER -