NDLI: Research on quality problems management of electric power equipment based on knowledge

Content Provider	IET Digital Library
Author	Han, Xiao Jiang, Jun Zhang, Chaohai Wen, Zhe Chen, Guang Liu, Yang
Abstract	The quality of electric power equipment directly affects and decides the securable and stable operation of the power grid. Revealing the quality problem causes and influencing factors are considered as the key point to improve and guarantee the quality of power apparatus. However, the data of power supplies quality problems have the features of diversity and complexity. It is of great value to take the full advantages of the multi-source heterogeneous data, especially the possess flow information tracing time and space, to locate vulnerable processes, problem causes and influencing factors. This study put forward a data source system, which includes general information, quality problem information, process flow information and other supplementary information. Furthermore, an improved neural network model utilising knowledge–data fusion method is proposed. In this way, the efficiency and accuracy of analysis for quality problems is available and enhanced. To verify the validity of the knowledge–data fusion model, a case study with 2084 sample data of gas-insulated switchgear is carried out, proving help to strengthen the management and control measures of power equipment quality problems.
Starting Page	745
Ending Page	751
Page Count	7
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 5, Mar (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0832
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-11-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2084 Sample Data Data Source System Electric Power Equipment Gas Insulated Switchgear General Information Improved Neural Network Model Utilising Knowledge–data Fusion Method Industrial Application of IT Knowledge–data Fusion Model Multisource Heterogeneous Data Neural Computing Technique Neural Nets Power Apparatus Power Engineering Computing Power Equipment Quality Problem Power Grid Power Supplies Quality Problem Power Supply Quality Problem Causes Process Flow Information Production Engineering Computing Quality Problem Information Quality Problem Management Securable Operation Sensor Fusion Stable Operation Supplementary Information
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Assessment of PD severity in gas-insulated switchgear with an SSAE

Electric load data characterising and forecasting based on trend index and auto-encoders

Thermal behaviour analyses of gas-insulated switchgear compartment using thermal network method

Classification and identification of electric shock current for safety operation in power distribution network

Monitoring of contact state of GIS switch based on infrared sensing technology

Electricity price forecasting using a new data fusion algorithm

Study on quick judgement of small signal stability using CNN

Power production prediction of wind turbines using a fusion of MLP and ANFIS networks

Peak load forecasting based on multi-source data and day-to-day topological network

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

Similar Documents

Assessment of PD severity in gas-insulated switchgear with an SSAE

Electric load data characterising and forecasting based on trend index and auto-encoders

Thermal behaviour analyses of gas-insulated switchgear compartment using thermal network method

Classification and identification of electric shock current for safety operation in power distribution network

Monitoring of contact state of GIS switch based on infrared sensing technology

Electricity price forecasting using a new data fusion algorithm

Study on quick judgement of small signal stability using CNN

Power production prediction of wind turbines using a fusion of MLP and ANFIS networks

Peak load forecasting based on multi-source data and day-to-day topological network

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