A knowledge-based system approach to malfunction diagnosis in chemical plants /
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| Title: | A knowledge-based system approach to malfunction diagnosis in chemical plants / |
|---|---|
| Authors: | Shum, Sik-Kwan |
| URL: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1751364971723597 |
| Database: | OpenDissertations |
| FullText | Text: Availability: 0 |
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| Header | DbId: ddu DbLabel: OpenDissertations An: ddu.oai.etd.ohiolink.edu.osu1751364971723597 AccessLevel: 6 PubType: Dissertation/ Thesis PubTypeId: dissertation PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ddu&AN=ddu.oai.etd.ohiolink.edu.osu1751364971723597 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English Subjects: – SubjectFull: Chemical plants--Management. Type: general – SubjectFull: Chemical plants--Safety measures. Type: general – SubjectFull: Problem solving--Data processing. Type: general Titles: – TitleFull: A knowledge-based system approach to malfunction diagnosis in chemical plants / Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shum, Sik-Kwan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 1986 |
| ResultId | 1 |