Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262693
Title: Intelligent fault detection techniques for an electro-hydraulic system.
Author: Angeli, Chrissanthi.
ISNI:       0000 0001 3424 5338
Awarding Body: University of Sussex
Current Institution: University of Sussex
Date of Award: 1998
Availability of Full Text:
Full text unavailable from EThOS. Restricted access. Please contact the current institution's library directly if you wish to view the thesis.
Abstract:
No abstract available
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.262693  DOI: Not available
Keywords: Artificial intelligence; Expert systems Computer software Hydraulic machinery Pneumatic machinery
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