12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > A novel condition monitoring and real-time simu...
View graph of relations

« Back

A novel condition monitoring and real-time simulation system for wind turbines

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date4/02/2013
Host publicationProceedings of EWEA 2013 - European Wind Energy Conference & Exhibition
Place of publicationVienna
PublisherEWEA
Number of pages9
Original languageEnglish

Conference

ConferenceProceedings of EWEA 2013 - European Wind Energy Conference & Exhibition
CountryAustria
CityVienna
Period4/02/137/02/13

Conference

ConferenceProceedings of EWEA 2013 - European Wind Energy Conference & Exhibition
CountryAustria
CityVienna
Period4/02/137/02/13

Abstract

Condition monitoring (CM) involves the collection of high frequency, instantaneous data for feature extraction. At present, many systems use separate modules to monitor one specific component or subsystem, with one particular type of detection technique. Clearly, it would be beneficial to monitor parameters associated with a variety of components to better identify potential failures of both individual components and of the system as a whole. This paper presents a novel architecture for condition monitoring of wind turbines. The system is developed around a reconfigurable control and data acquisition system, for which hardware modules can be configured for a particular set of signals, thus tailoring the system to specific monitoring tasks. Wavelet analysis is used for signal recovery by means of feature extraction in order to reduce the amount of data transmitted and stored by the CM system. An automated calculation of the Lipschitz exponent, a measure of local signal regularity, is proposed to infer the location, duration and severity of the faults. A FPGA (field-programmable gate array), embedded in the system has been utilised, allowing critical signal processing tasks to be undertaken for real-time monitoring purposes. The proposed algorithms are tested and validated using simulation data from a Simulink/SimPowerSystems model of a DFIG-based wind turbine. In turn, the system can also be configured as a real-time simulation of a grid-connected wind turbine on the same hardware platform in order to test control and protection systems onsite for wind turbines.