Activities per year
Unmanned Aerial Vehicles (UAVs) are receiving increasing attention for use in Non-Destructive Testing due to their ability to access areas where manual inspection is not practical. Contact-based UAV ultrasonic inspections grant the opportunity to remotely monitor the structural health of an industrial asset with enhanced internal integrity information. Ultrasonic inspection is a Non-Destructive Testing (NDT) method conventionally used in corrosion mapping. Surface contacting ultrasonic transducers provide enhanced structural integrity information. However, due to near-surface aerodynamic effects, angular sensitivity of the ultrasound probe and alignment error during autonomous inspections, ultrasonic thickness measurements with low Signal-to-Noise Ratio (SNR) are common. Coded excitation consists of a series of binary bits, whereby the polarity of the voltage is varied following a set excitation sequence to produce desirable signal properties. Here, coded excitation is utilised to increase SNR and thereby reduce measurement uncertainty originating from non-ideal transducer alignment with asset surfaces during inspections. This paper evaluates the performance of two binary code sequences (8-bit Golay, 13-bit Barker) for use in autonomous airborne inspections.
|Number of pages||4|
|Publication status||Published - 6 Oct 2019|
|Event||2019 IEEE International Ultrasonics Symposium: IEEE UFFC - SECC, Glasgow, United Kingdom|
Duration: 6 Oct 2019 → 9 Oct 2019
|Conference||2019 IEEE International Ultrasonics Symposium|
|Abbreviated title||IUS 2019|
|Period||6/10/19 → 9/10/19|
- coded excitation
- ultrasonic inspection
FingerprintDive into the research topics of 'Evaluation of coded excitations for autonomous airborne ultrasonic inspection'. Together they form a unique fingerprint.
- 1 Participation in workshop, seminar, course
2019 IEEE International Ultrasonics Symposium
Gordon Dobie (Participant)6 Oct 2019
Activity: Participating in or organising an event types › Participation in workshop, seminar, course