Probabilistic prognostics of gears under variable loading

dc.contributor.committeeChairEkwaro-Osire, Stephen
dc.contributor.committeeMemberAksak, Burak
dc.contributor.committeeMemberAlemayehu, Fisseha M.
dc.contributor.committeeMemberWestergaard, Carsten
dc.contributor.committeeMemberYang, James
dc.contributor.committeeMemberYeo, Changdong
dc.creatorEndeshaw, Haile Belay
dc.creator.orcid0000-0001-8838-0586
dc.date.accessioned2017-09-14T03:00:12Z
dc.date.available2017-09-14T03:00:12Z
dc.date.created2017-08
dc.date.issued2017-08
dc.date.submittedAugust 2017
dc.date.updated2017-09-14T03:00:12Z
dc.description.abstractPrognostics is essential in decision making to prevent cost and downtime. Prognostics is especially useful in variable loading conditions, such as loads in wind turbine gearboxes. Literature suggests that accurate prediction of remaining useful life will improve reliability and reduce maintenance cost and that there is a need for a comprehensive framework for quantifying uncertainties in prognostics. The research question of this study is “can probabilistic analysis quantify uncertainties in prognostics?” The specific aims of the research are to construct a generic probabilistic prognostics framework, to estimate the remaining useful life of structures under variable amplitude loading, and to estimate the remaining useful life of cracked gears under variable loading. A computational framework for probabilistic prognostics was developed to perform rainflow counting, dynamic analysis of a gearbox, finite element analysis of a gear tooth, and estimation of remaining useful life. The framework analyzes uncertainties related to state, loading, and material properties. The remaining useful life of structures under variable loading was analyzed by quantifying material and loading uncertainties and employing cumulative fatigue damage. The complete remaining useful life trajectories of structures under variable loading were determined. The remaining useful life estimation of a gear to predict crack growth in the gear tooth was also analyzed. The probability of failure at any loading cycle was quantified. The proposed probabilistic prognostics framework could quantify uncertainties in remaining useful life prediction for fault mitigation. Hence, it can be used as a helpful tool to prepare maintenance schedules in advance to reduce cost and avoid downtime.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/73168
dc.language.isoeng
dc.rights.availabilityUnrestricted.
dc.subjectPrognostics
dc.subjectProbabilistic
dc.subjectFatigue
dc.subjectRemaining useful life
dc.subjectCumulative fatigue damage
dc.subjectRainflow
dc.titleProbabilistic prognostics of gears under variable loading
dc.typeDissertation
dc.type.materialtext
thesis.degree.departmentMechanical Engineering
thesis.degree.disciplineMechanical Engineering
thesis.degree.grantorTexas Tech University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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