Reference number : GC-2017-Q3-00632, amendment number : , agreement type : G, recipient legal name : Yarusevych, Serhiy (University of Waterloo), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Wind turbine blades operate at high relative velocities and are exposed to unsteady wind loading and harsh_x000D_
environmental conditions, including rain, hail, lightning, etc. As a consequence, blades are damaged frequently_x000D_
and the associated repairs amount for the second largest downtime in turbine maintenance. Thus, routine_x000D_
inspections are required to identify blade damage in a timely fashion, so that required repairs can be performed_x000D_
in time to prevent further damage and/or catastrophic failure. Such inspections are commonly performed by_x000D_
specialized technical staff, adding significant cost to operation and maintenance of wind farms. This proposal_x000D_
will enable the use of a portable instrument platform involving high definition imaging in visible and infrared_x000D_
ranges to assess blades health on an operating turbine, minimizing the required time and avoiding any_x000D_
downtime for inspections. The work will involve controlled experiments in a wind tunnel facilities as well as_x000D_
analysis of field data to help develop effective algorithms for robust blade damage detection., program purpose french : Wind turbine blades operate at high relative velocities and are exposed to unsteady wind loading and harsh_x000D_
environmental conditions, including rain, hail, lightning, etc. As a consequence, blades are damaged frequently_x000D_
and the associated repairs amount for the second largest downtime in turbine maintenance. Thus, routine_x000D_
inspections are required to identify blade damage in a timely fashion, so that required repairs can be performed_x000D_
in time to prevent further damage and/or catastrophic failure. Such inspections are commonly performed by_x000D_
specialized technical staff, adding significant cost to operation and maintenance of wind farms. This proposal_x000D_
will enable the use of a portable instrument platform involving high definition imaging in visible and infrared_x000D_
ranges to assess blades health on an operating turbine, minimizing the required time and avoiding any_x000D_
downtime for inspections. The work will involve controlled experiments in a wind tunnel facilities as well as_x000D_
analysis of field data to help develop effective algorithms for robust blade damage detection., agreement title english : Utilization of aerial infrared imaging for monitoring wind turbine blade health, agreement title french : Utilization of aerial infrared imaging for monitoring wind turbine blade health, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-11-08, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada