期刊
IEEE ACCESS
卷 9, 期 -, 页码 66398-66407出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3075463
关键词
Power quality; Production; Logistics; Variable speed drives; Process control; Loss measurement; Licenses; Voltage sag; voltage tolerance curve; process immunity time; minimal cut set
资金
- Project of the National Natural Science Foundation of China [51807126]
An immunity assessment method for the assembly line process is proposed in this study, fully considering the relationship between logistics line and power line, and thoroughly portraying the relationship between equipment and its links to evaluate the immunity of the whole manufacturing process. The results show that the deviation of the evaluation obtained by the proposed method is relatively small, indicating an accurate evaluation of the process immunity.
In order to enhance the effectiveness of voltage sag governance and the practicability of the process immunity assessment method, an immunity assessment method for the assembly line process is proposed, fully considering the relationship between logistics line and power line, and thoroughly portraying the relationship between equipment and its links in depth. Combined with the existing voltage tolerance curve test results, the power line immunity time is reasonably evaluated considering the response delay of each device. In addition, the fault probability is quantified considering the possibility of equipment failure and its link repairing. On this basis, the minimal cut-set method is adapted to standardize the constructed random network of logistics lines. The immunity of the whole manufacturing process is evaluated through series-parallel logical analysis. In the end, the paper mill is taken as a sample to illustrate the proposed method. The deviation between the average annual economic loss obtained from model evaluation and this typical producer's survey loss is regarded as the basis for the measurement of the effectiveness of the method. The results show that the immunity of the process can be accurately evaluated for the deviation of the evaluation obtained by the proposed method is relatively small.
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