Show simple item record

Expert air monitoring system (EXAMS): An expert system to use Fourier transform infrared spectrometry for air monitoring in industrial environments.

dc.contributor.authorD'Arcy, James Benjamin
dc.contributor.advisorLevine, Steven P.
dc.date.accessioned2016-08-30T17:06:37Z
dc.date.available2016-08-30T17:06:37Z
dc.date.issued1994
dc.identifier.urihttp://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:9500911
dc.identifier.urihttps://hdl.handle.net/2027.42/129347
dc.description.abstractThe goal of this research was to develop a prototype expert system (EXAMS) for monitoring workplace air by Fourier transform infrared (FT-IR) spectrometry. FT-IR can provide real-time analysis of complex gas-phase mixtures without the need for time-averaging sample pre-concentration or pre-separation of individual components. The expert system enables a non-spectroscopist, or a spectroscopist with limited occupational health training, to utilize this powerful analytical technique for assessment of health hazards. The expert system operates in MS-Windows$\sp\circler$ 3.1 and includes an occupational hygiene and toxicological evaluation of the air monitoring results. EXAMS currently operates in occupational environments of known atmospheric contaminants, but with the ability to identify the presence of unanticipated compounds. EXAMS is a hybrid blackboard system utilizing three different knowledge-based systems that communicate with each other to accomplish the system goal. The mid-infrared spectrum of pure compounds is analyzed for analytical regions using a hybrid algorithm/heuristic expert system written in Borland C. The selection of optimal analytical regions for sensitivity and selectivity within a sample mixture is based on the compounds present in the environment. The hypertext user interface and database routines were written with Borland Object Vision$\sp\circler$ 2.0. Additional heuristic or rule-based programming for quality assurance and decision support is provided with Information Builder's Level5 Object$\sp\circler$ inference engine. The expert system was evaluated for individual compounds against previously published information using a metric for measuring the health protection value of proposed analytical regions. EXAMS performed as well as or better than the expert spectroscopists in determining analytical regions for these samples. Quantitative evaluation of EXAMS using five known composition mixtures of varied complexity against eight expert spectroscopists produced results in which EXAMS was statistically superior (P $<$ 0.05) to the experts. Implementation of the fully developed EXAMS expert system can dramatically improve the accessibility of FT-IR to non-spectroscopists and increase its range of applicability for spectroscopists by expanding its use to health hazard assessments.
dc.format.extent312 p.
dc.languageEnglish
dc.language.isoEN
dc.subjectAir
dc.subjectEnvironments
dc.subjectExams
dc.subjectExpert
dc.subjectFourier
dc.subjectIndustrial
dc.subjectInfrar
dc.subjectInfrared
dc.subjectMonitoring
dc.subjectSpectrometry
dc.subjectSystem
dc.subjectTransform
dc.subjectUse
dc.titleExpert air monitoring system (EXAMS): An expert system to use Fourier transform infrared spectrometry for air monitoring in industrial environments.
dc.typeThesis
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineAnalytical chemistry
dc.description.thesisdegreedisciplineEnvironmental science
dc.description.thesisdegreedisciplineHealth and Environmental Sciences
dc.description.thesisdegreedisciplinePure Sciences
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/129347/2/9500911.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.