NDLI: Data mining with improved Apriori algorithm on wind generator alarm data

Content Provider	IEEE Xplore Digital Library
Author	Chao Tong Peng Guo
Copyright Year	2013
Description	Author affiliation: Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China (Chao Tong; Peng Guo)
Abstract	Alarm system is an important subsystem of Supervisory Control and Data Acquisition (SCADA) system in wind turbines. Because of the bad operating environment and condition switching frequently, this system has the problems of alarm too frequently and too large amount of alarm data which greatly reduce the effectiveness of the alarm system. Remove the excessive redundant alarm and refine the valid information are significant to early find wind turbines abnormal operation, to research the causal connection between different faults and to reduce the operators' workload. Data mining is an effective way to solve this problem. This paper used association rules on improved Apriori algorithm to analysis the alarm information which happened before and after blade angle asymmetry fault. Combined with the running mechanism of variable-pitch systems, we find the implied causal relationships between faults, then filter out minor redundant information, refine effective leading fault alarms and at last greatly reduce the number of alarm, improve the operators' work efficiency.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	1936
Ending Page	1941
File Size	239919
Page Count	6
File Format	PDF
ISBN	9781467355339
e-ISBN	9781467355346
DOI	10.1109/CCDC.2013.6561250
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pitch Control Fault Itemsets Condition Monitoring Blades Fault Alarm Alarm systems Data Mining Wind turbines Classification algorithms Association rules
Content Type	Text
Resource Type	Article

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

An Improved Apriori Algorithm Based on Association Analysis

An Improved Apriori Algorithm

Associating IDS Alerts by an Improved Apriori Algorithm

An Improved Apriori-based Algorithm for Association Rules Mining

An Improved Algorithm for Apriori

Extension of local association rules mining algorithm based on apriori algorithm

An improved matrix sorting index association rule data mining algorithm

An approach to improve apriori algorithm based on association rule mining

Distributed Association Mining on Message Passing Systems

Data mining with improved Apriori algorithm on wind generator alarm data

Similar Documents

An Improved Apriori Algorithm Based on Association Analysis

An Improved Apriori Algorithm

Associating IDS Alerts by an Improved Apriori Algorithm

An Improved Apriori-based Algorithm for Association Rules Mining

An Improved Algorithm for Apriori

Extension of local association rules mining algorithm based on apriori algorithm

An improved matrix sorting index association rule data mining algorithm

An approach to improve apriori algorithm based on association rule mining

Distributed Association Mining on Message Passing Systems

Data mining with improved Apriori algorithm on wind generator alarm data