Pseudo-random Dynamic Testing Signal Modeling and its Electric Energy Compressive Measurement Method |
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| Xuewei Wang, Jing Yang, Lin Wang, Xiaoxuan Dong, Ruiming Yuan, Zhenyu Jiang |
- Abstract:
- This paper is concerned with the problem of measuring electric energy accurately under the large power dynamic (LPD) loads (e.g. arc furnaces in the steelmaking, high-speed train) testing conditions. The m-sequence pseudo-random dynamic testing (PrDT) signal parameter model is established. Meanwhile we analyze statistical properties of the PrDT signal model to prove that the model can represent typical characters of LPD loads and the testing signal is sparse in frequency domain. Then we design a deterministic optimal measurement matrix with the minimal measuring error and a novel Compressive Measurement (CM) measuring method is proposed. The CM measuring method can solve the problem of measuring electric energy accurately under the random dynamic testing signal conditions. Using the PrDT signal model, simulation has also been carried out based on different length and period of msequence. The results show that the metering errors of CM measuring method are small enough to be ignored.
- Keywords:
- random testing signal model, compressive measurement, electric energy measurement, measurement matrix
- Download:
- IMEKO-TC4-2017-007.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2017
- Title:
22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing
"Supporting world development through electric&electronic measurements"- Place:
- Iasi, ROMANIA
- Time:
- 14 September 2017 - 15 September 2017