TY - GEN
T1 - Overview of the Application of Knowledge Graph in Anomaly Detection and Fault Diagnosis
AU - Huang, Peizheng
AU - Liu, Shulin
AU - Zhang, Kuan
AU - Xu, Tao
AU - Yi, Xiaojian
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Knowledge graph is a branch of artificial intelligence, which uses graph model to describe the relationship between knowledge and things. Using the technology of knowledge extraction, knowledge fusion and knowledge processing in knowledge graph, a large-scale knowledge base with semantic and open knowledge can be established quickly for a specific domain. Knowledge graph has gradually become an important means of knowledge management and application in various fields. This paper reviews the development history of knowledge graphs, introduces key technologies of knowledge graphs, and the application, rules and characteristics of knowledge graphs in anomaly detection and fault diagnosis. Furthermore, this paper summarizes the application of knowledge graph technology in anomaly detection and fault diagnosis in various industries, analyzes the applicability of knowledge graph in the field of anomaly detection and fault diagnosis, discusses the challenges faced in the application process, and proposes future development trends.
AB - Knowledge graph is a branch of artificial intelligence, which uses graph model to describe the relationship between knowledge and things. Using the technology of knowledge extraction, knowledge fusion and knowledge processing in knowledge graph, a large-scale knowledge base with semantic and open knowledge can be established quickly for a specific domain. Knowledge graph has gradually become an important means of knowledge management and application in various fields. This paper reviews the development history of knowledge graphs, introduces key technologies of knowledge graphs, and the application, rules and characteristics of knowledge graphs in anomaly detection and fault diagnosis. Furthermore, this paper summarizes the application of knowledge graph technology in anomaly detection and fault diagnosis in various industries, analyzes the applicability of knowledge graph in the field of anomaly detection and fault diagnosis, discusses the challenges faced in the application process, and proposes future development trends.
KW - anomaly detection
KW - application
KW - fault diagnosis
KW - knowledge graph
UR - http://www.scopus.com/inward/record.url?scp=85151752713&partnerID=8YFLogxK
U2 - 10.1109/SRSE56746.2022.10067308
DO - 10.1109/SRSE56746.2022.10067308
M3 - Conference contribution
AN - SCOPUS:85151752713
T3 - 2022 4th International Conference on System Reliability and Safety Engineering, SRSE 2022
SP - 207
EP - 213
BT - 2022 4th International Conference on System Reliability and Safety Engineering, SRSE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on System Reliability and Safety Engineering, SRSE 2022
Y2 - 15 December 2022 through 18 December 2022
ER -