Monitoring the Dynamics of a Helicopter Main Rotor With High‐Speed Stereophotogrammetry

Stereophotogrammetry in conjunction with three-dimensional point tracking (3DPT) algorithms has proven to be a highly robust dynamic measurement technique on small, rotating bladed systems. This measurement technique can be scaled up to much larger systems and has several desirable features for helicopter and wind turbine structural health monitoring (SHM) applications that include: (1) it is noncontact and does not require the use of roll/slip rings for signal transmission; (2) the applied measurement targets negligibly affect the aerodynamics or structural mass/stiffness; and (3) position data can be collected on many hundreds of points over what is capable using conventional multichannel data acquisition (DAQ) systems. A field test was conducted in which operating data were collected on the main rotor of a helicopter in both grounded and hovering operating conditions. Part 1 of this work describes the experimental setup and DAQ process of the test performed and part 2 of this work presents some of the results including blade dynamics and extracted operating deflection shape information for the helicopter. The promising results presented in this work will serve as the foundation for the development of noncontacting SHM techniques that can be applied to large, rotating bladed structures while in operation.

[1]  Peter Avitabile,et al.  Optical Non-contacting Vibration Measurement of Rotating Turbine Blades II , 2011 .

[2]  Tim Schmidt,et al.  Wind Turbine Operational and Emergency Stop Measurements Using Point Tracking Videogrammetry , 2009 .

[3]  Daniel Rixen,et al.  Optical Measurements and Operational Modal Analysis on a Large Wind Turbine: Lessons Learned , 2011 .

[4]  Andrew W. Fitzgibbon,et al.  Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.

[5]  Robert B. Randall,et al.  A New Method for Separating Discrete Components from a Signal , 2011 .

[6]  Peter Avitabile,et al.  Using High-Speed Stereophotogrammetry Techniques to Extract Shape Information from Wind Turbine/Rotor Operating Data , 2012 .

[7]  Troy Lundstrom Dynamic measurement and analysis of large-scale rotating systems using stereophotogrammetry , 2012 .

[8]  Daniel Rixen,et al.  Operational modal analysis of a 2.5 MW wind turbine using optical measurement techniques and strain gauges , 2013 .

[9]  Peter Avitabile,et al.  Appropriate rigid body correction of stereophotogrammetry measurements made on rotating systems , 2015, Experimental Techniques.

[10]  Peter Avitabile,et al.  Determination of Wind Turbine Operating Deflection Shapes Using Full-field 3D Point-tracking , 2011 .

[11]  D. Rixen,et al.  Identification of the Dynamics of Large Wind Turbines by Using Photogrammetry , 2011 .

[12]  Jayant Sirohi,et al.  Measurement of Deformation of Rotating Blades Using Digital Image Correlation , 2011 .

[13]  Oliver Schneider,et al.  Analysis of SPR measurements from HART II , 2005 .

[14]  Alpheus W. Burner,et al.  Blade Displacement Measurements of the Full-Scale UH-60A Airloads Rotor , 2011 .

[15]  Daniel Rixen,et al.  Feasibility of monitoring large wind turbines using photogrammetry , 2010 .

[16]  Tim Schmidt,et al.  Developments in Large Wind Turbine Modal Analysis Using Point Tracking Videogrammetry , 2011 .

[17]  M. S. Lebold,et al.  Removal of order domain content in rotating equipment signals by double resampling , 2005 .

[18]  Ben Gorte,et al.  Vibration measurement of a model wind turbine using high speed photogrammetry , 2011, Optical Metrology.