Title:
Autonomous structural health monitoring technique for interplanetary drilling applications using laser doppler velocimeters

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dc.contributor.advisor Hanagud, Sathyanaraya
dc.contributor.author Statham, Shannon M. en_US
dc.contributor.committeeMember Glass, Brian
dc.contributor.committeeMember Kardomateas, George A.
dc.contributor.committeeMember Ruzzene, Massimo
dc.contributor.committeeMember Sharma, Vin
dc.contributor.department Aerospace Engineering en_US
dc.date.accessioned 2011-07-06T16:24:59Z
dc.date.available 2011-07-06T16:24:59Z
dc.date.issued 2011-01-18 en_US
dc.description.abstract With the goal to continue interplanetary exploration and search for past or existent life on Mars, software and hardware for unmanned subsurface drills are being developed. Unlike drilling on Earth, interplanetary exploration drills operate with very low available power and require on-board integrated health monitoring systems, with quick-response recovery procedures, under complete autonomous operations. As many drilling faults are not known a priori, Earth-based direction and control of an unmanned interplanetary drilling operation is not practical. Such missions also require advanced robotic systems that are more susceptible to structural and mechanical failures, which motivates a need for structural health monitoring techniques relevant to interplanetary exploration systems. Structural health monitoring (SHM) is a process of detecting damage or other types of defects in structural and mechanical systems that have the potential to adversely affect the current or future performance of these systems. Strict requirements for interplanetary drilling missions create unique research problems and challenges compared with SHM procedures and techniques developed to date. These challenges include implementing sensors and devices that do not interfere with the drilling operation, producing "real-time" diagnostics of the drilling condition, and developing an automation procedure for complete autonomous operations. Thus, the completed thesis work presents basic research leading to the dynamic analysis of rotating structures with specific application to interplanetary subsurface drill systems, and the formulation of an autonomous, real-time, dynamics-based SHM technique for drilling applications. This includes modeling and validating the structural dynamic system, with and without damage or faults, for a prototype interplanetary subsurface drill, exploring the use of Laser Doppler Velocimeter sensors for use in real-time SHM, developing signal filters to remove inherent harmonic components from the dynamic signal of rotating structures, developing an automation procedure with the associated software, and validating the SHM system through laboratory experiments and field tests. The automated dynamics-based structural health monitoring technique developed in this thesis presents advanced research accomplishments leading to real-time, autonomous SHM, and it has been validated on an operating dynamic system in laboratory and field tests. The formulated SHM and drilling operation also met or exceeded all specified requirements. Other major contributions of this thesis work include the formulation and demonstration of real-time, autonomous SHM in rotating structures using Laser Doppler Velocimeter sensors. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/39488
dc.publisher Georgia Institute of Technology en_US
dc.subject Structural health monitoring en_US
dc.subject Structural dynamics en_US
dc.subject Structures en_US
dc.subject Laser Doppler Velocimeters en_US
dc.subject LDV en_US
dc.subject Interplanetary exploration en_US
dc.subject Space drilling en_US
dc.subject.lcsh Structural health monitoring
dc.subject.lcsh Drilling and boring
dc.subject.lcsh Outer space Exploration
dc.subject.lcsh Planets Exploration
dc.subject.lcsh Laser Doppler velocimeter
dc.title Autonomous structural health monitoring technique for interplanetary drilling applications using laser doppler velocimeters en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Hanagud, Sathyanaraya
local.contributor.corporatename College of Engineering
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.relation.ispartofseries Doctor of Philosophy with a Major in Aerospace Engineering
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relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isOrgUnitOfPublication a348b767-ea7e-4789-af1f-1f1d5925fb65
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