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Roach, D.P. (2021). Performance Evaluation of Comparative Vacuum Monitoring and Piezoelectric Sensors for Structural Health Monitoring of Rotorcraft Components. 10.2172/1809128

Roach, D.P. (2020). Application and Certification of Comparative Vacuum Monitoring Sensors for Structural Health Monitoring of 737 Wing Box Fittings. 10.2172/1660800

Roach, D.P., Swindell, P., & Swindell, P. (2019). Generating viable data to accurately quantify the performance of SHM systems [Conference Poster]. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. 10.12783/shm2019/32220

Ely, G.R., Roach, D.P., Rice, T.M., Paquette, J.A., & Paquette, J.A. (2018). Blade Reliability Collaborative - Evolving Advanced NDI: Health Monitoring for Enhanced In-Service Life & Accurate QA to Aid Wind Blade Production [Conference Poster]. https://www.osti.gov/biblio/1582288

Ely, G.R., Roach, D.P., Rice, T.M., Nelson, G., Paquette, J.A., & Paquette, J.A. (2018). Development and Evaluation of a Drone-Deployed Wind Turbine Blade Nondestructive Inspection System. 10.2172/1528806

Roach, D.P., Rice, T.M., Ely, G.R., Paquette, J.A., & Paquette, J.A. (2017). Innovative Efficient and Effective Methods to Address Wind Blade Production and In-Service Inspection Needs [Conference Poster]. https://www.osti.gov/biblio/1432337

Roach, D.P., Rice, T.M., Paquette, J.A., & Paquette, J.A. (2017). Probability of Detection Study to Assess the Performance of Nondestructive Inspection Methods for Wind Turbine Blades. 10.2172/1374030

Roach, D.P., Rice, T.M., & Rice, T.M. (2017). Convergence of Multiple Statistical Methods for Calculating the Probability of Detection from SHM Sensor Networks [Conference Poster]. 10.12783/shm2017/14209

Roach, D.P., Rice, T.M., Neidigk, S., & Neidigk, S. (2015). Use of Probability of Detection Studies to Establish the Reliability of Quality Assurance Measures in the Wind Industry [Conference Poster]. https://www.osti.gov/biblio/1327862

Roach, D.P., Rice, T.M., Neidigk, S., Piotrowski, D., Linn, J., & Linn, J. (2015). Establishing the Reliability of SHM Systems Through the Extrapolation of NDI Probability of Detection Principles [Conference Poster]. https://www.osti.gov/biblio/1256568

Results 1–25 of 86
Results 1–25 of 86