Open AccessResearch on Pump Product Intelligent Fault Diagnosis System Based on Dig Data
Author(s) -
Yimei Xu,
Xiaoqing Xu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2121/1/012024
Subject(s) - fault (geology) , identification (biology) , big data , computer science , product (mathematics) , data mining , real time computing , reliability engineering , engineering , botany , geometry , mathematics , seismology , biology , geology
With the integration of information technology and manufacturing industry and the improvement of equipment monitoring data and computer computing ability, equipment fault diagnosis has entered the era of “big data”. Using big data analysis method for fault diagnosis, the fault diagnosis model can learn its own characteristics and complete fault identification, so that the fault diagnosis is more intelligent and automatic on the basis of high identification accuracy. This paper mainly studies the application of fault diagnosis method and big data analysis method in pump product fault diagnosis.