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Software code for A dynamic discretization method for reliability inference in dynamic bayesian networks

dc.contributor.authorZhu, Jiandao
dc.contributor.authorCollette, Matthew
dc.date.accessioned2015-02-24T17:39:33Z
dc.date.available2015-02-24T17:39:33Z
dc.date.issued2015-02-24
dc.identifier.urihttps://hdl.handle.net/2027.42/110679
dc.description.abstractThis is MATLAB soruce code that produces the results presented in the following paper at doi:10.1016/j.ress.2015.01.017en_US
dc.description.sponsorshipThe authors would like to acknowledge the support of Dr. Paul Hess of the Office of Naval Research Code 331 under Grant N00014-10-1-0193.en_US
dc.language.isoen_USen_US
dc.subjectdynamic bayesian networken_US
dc.subjectreliabilityen_US
dc.subjectcrack growthen_US
dc.subjectinspection updatingen_US
dc.titleSoftware code for A dynamic discretization method for reliability inference in dynamic bayesian networksen_US
dc.typeSoftwareen_US
dc.subject.hlbsecondlevelNaval Architecture and Marine Engineering
dc.subject.hlbtoplevelEngineering
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/110679/1/RPDD.tar.gz
dc.identifier.sourceAccompanying paper published in Reliability Engineering and System Safetyen_US
dc.identifier.orcidorcid.org/0000-0002-8380-675Xen_US
dc.description.filedescriptionDescription of RPDD.tar.gz : Software tar
dc.identifier.name-orcidCollette, Matthew; 0000-0002-8380-675Xen_US
dc.owningcollnameNaval Architecture & Marine Engineering (NA&ME)


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