Research on quality problems management of electric power equipment based on knowledge–data fusion method

Han, Xiao; Jiang, Jun; Zhang, Chaohai; Wang, Zhe; Chen, Guang; Liu, Yang

doi:10.1049/iet-gtd.2019.0832

Cited by 15 publications

(13 citation statements)

References 28 publications

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“…In order to study the distribution of physical fusion system of safety information privacy, must first clear their wireless networks yuan frequent security threats, and then according to this system nodes show a massive sex and heterogeneity, on the analysis of the existing security mechanisms used to judge the performance of at the same time, reasonable use of lightweight key authentication algorithm, and the content of the quality and safety. [1][2][3][4] Table 1. Definition analysis of node parameters parameter Definition or Purpose Ts Service node election timeout P,q Two prime numbers large enough to generate the key space λ Maximum number of customers of the service node H Fault-tolerant crisis control mechanism Ps…”

Section: Security Threats and Responsementioning

confidence: 99%

Research on Key Technology of Security and Privacy Protection of Distribution Network Information Physical Fusion System

Tong

Ding

et al. 2021

J. Phys.: Conf. Ser.

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As one of the most critical contents in the field of modern interdisciplinary research, information physical fusion not only changes the way of human interaction, but also promotes the development of modern information processing and development. Therefore, on the basis of making clear the current operation situation of distribution network information physical fusion system, this paper makes a simple understanding of the key technologies to guarantee system security and privacy from four aspects: security threat and response, crisis state and access control, reputation and trust management, and idle state monitoring algorithm.

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Section: Security Threats and Responsementioning

confidence: 99%

Research on Key Technology of Security and Privacy Protection of Distribution Network Information Physical Fusion System

Tong

Ding

et al. 2021

J. Phys.: Conf. Ser.

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“…At present, software packages that have developed a variety of functions have been developed for qualitative and quantitative research on fault trees, and the analysis methods of faulty trees have been widely adopted in the fields of nuclear industry, aviation, aerospace, machinery, electronics, weapons, ships, chemicals, etc. Product safety and reliability [1][2][3][4][5]. However, there are the following problems in the establishment and application of the electrical transformer failure tree:…”

Section: Introductionmentioning

confidence: 99%

Research on the method of building power transformer fault tree based on fault cases

Zhang,

Yang,

Gao

et al. 2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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This paper proposes a method for establishing a power transformer fault tree based on fault cases. The method includes: obtaining multiple fault cases of power transformers, dismantling multiple fault cases according to preset dismantling rules; Classify the faults of power transformers according to multiple fault cases, and establish the basic framework of the fault tree; according to the results of dismantling, determine the logical relationship between the fault cause and the fault phenomenon of the power transformer; based on the basic framework of the fault tree and the determined logical relationship, Build a fault tree for power transformers based on fault cases. This method will effectively improve the role of fault cases in the establishment of power transformer fault trees, realize fault identification and diagnosis of power transformers with high efficiency and high practicability, improve the efficiency of transformer fault analysis and disposal, and save power outage time caused by transformer faults.

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“…The continuous expansion of power grids have witnessed exploding requirements to the intelligent operation and maintenance (O&M) of power equipment [1][2][3]. With the wide application of information technologies, massive data (both numerical and textual) is accumulated to support the security and stability of power equipment [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Conventional equipment O&M, mostly carried out from the policy perspective [3], rely heavily on expert experience. Hence, even with the assistance of data-driven models (e.g.…”

Section: Introductionmentioning

confidence: 99%

An event knowledge graph system for the operation and maintenance of power equipment

Tian

Song

Sheng

et al. 2022

IET Generation Trans & Dist

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Power equipment operation and maintenance (O&M) requires plenty of domain knowledge to improve equipment security and power grid reliability. However, most knowledge is implicitly represented by the semantic text, which is hard to be comprehended by algorithms and restricts the intelligence level of equipment O&M. Therefore, this article proposes an event knowledge graph system to automatically extract event knowledge from O&M reports and represent the knowledge by an event knowledge graph (KG). First, a bidirectional long short-term memory network (BiLSTM) combined with conditional random field (CRF) is employed to recognize the entities. Next, an attention-based sequence-to-sequence model is proposed to detect multiple events and extract documentlevel representation vectors. Then, a tree-based table filling strategy is utilized to complete the artificially designed event tables. Finally, the proposed system renders the event tables into an event KG. Verified by the experiments, the proposed system outperforms the baselines with the F-measure of 83.5% for event extraction and 94.2% for event detection. When dealing with coexisting events and scattering arguments, the F-measure of the proposed system achieves 74.8% and 79.0%, respectively. Moreover, the proposed system has positive effects on intelligent retrieval, fault diagnosis, and condition assessment, verifying its potential value for equipment O&M.

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Research on quality problems management of electric power equipment based on knowledge–data fusion method

Cited by 15 publications

References 28 publications

Research on Key Technology of Security and Privacy Protection of Distribution Network Information Physical Fusion System

Research on Key Technology of Security and Privacy Protection of Distribution Network Information Physical Fusion System

Research on the method of building power transformer fault tree based on fault cases

An event knowledge graph system for the operation and maintenance of power equipment

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