NDLI: Using SCADA data for wind turbine condition monitoring

Content Provider	IET Digital Library
Author	Weinert, Jannis Tautz Watson, Simon J.
Abstract	The ever increasing size of wind turbines and the move to build them offshore have accelerated the need for optimised maintenance strategies in order to reduce operating costs. Predictive maintenance requires detailed information on the condition of turbines. Due to the high costs of dedicated condition monitoring systems based on mainly vibration measurements, the use of data from the turbine supervisory control and data acquisition (SCADA) system is appealing. This review discusses recent research using SCADA data for failure detection and condition monitoring (CM), focussing on approaches which have already proved their ability to detect anomalies in data from real turbines. Approaches are categorised as (i) trending, (ii) clustering, (iii) normal behaviour modelling, (iv) damage modelling and (v) assessment of alarms and expert systems. Potential for future research on the use of SCADA data for advanced turbine CM is discussed.
Starting Page	382
Ending Page	394
Page Count	13
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 4, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0248
Journal	IET Renewable Power Generation
Publisher Date	2016-09-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Aerodynamics Alarms-and-expert System Assessment Approach Anomaly Detection Civil And Mechanical Engineering Computing Clustering Approach Condition Monitoring Control Engineering Computing Control Technology And Theory Damage Modelling Approach Data Acquisition System Data Acquisition System For Control Data Security Failure Analysis Failure Detection Fluid Mechanics Industrial Application of IT Maintenance And Reliability Measurement Mechanical Engineering Mechanical Engineering Application of IT Mechanical Engineering Computing Mechanical Variables Measurement Normal Behaviour Modelling Approach Operating Cost Reduction Optimised Maintenance Strategy Pattern Clustering Plant Engineering, Maintenance And Safety Power And Plant Engineering Power Engineering Computing Predictive Maintenance Preventive Maintenance Reliability SCADA Data SCADA System Security of Data Trending Approach Turbine Supervisory Control-and-data Acquisition System Vibration Measurement Vibrations And Shock Wave Wind Power Plant Wind Turbine Wind Turbine Condition Monitoring
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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

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