Fuzzy Comprehensive Evaluation Method for On-line Monitoring Data Quality of Substation Equipment

Autor:	Wang Feng, Yuan Shuai, Shao Mingxin, Fu Dehui, Wang Guangzhen
Rok vydání:	2019
Předmět:	Computer science business.industry media_common.quotation_subject Big data Fuzzy logic Reliability engineering Transformation (function) Data quality Index set Line (geometry) Quality (business) business Membership function media_common
Zdroj:	2019 6th International Conference on Information Science and Control Engineering (ICISCE).
DOI:	10.1109/icisce48695.2019.00154
Popis:	This paper analyses the existing problems in on-line monitoring and data quality evaluation of substation equipment, and proposes a multi-dimensional fuzzy comprehensive evaluation method for on-line monitoring data quality of substation equipment. The evaluation index set of online monitoring data quality of substation equipment with 5 dimensions and 11 secondary indexes is established. The weight is determined by combining subjective and objective methods. The fuzzy transformation is completed based on membership function and a multi-dimensional fuzzy comprehensive evaluation model is established. Finally, the evaluation grade of online monitoring data of substation equipment is obtained. Finally, compared with other methods, the validity and accuracy of this method are verified.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1c2030b19541975776d1b04841b36c6d https://doi.org/10.1109/icisce48695.2019.00154 Zobrazit plný text záznamu