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Fast fault diagnosis for industrial processes applied to the reliable operation of robotic systems

Pouliezos Anastasios, Stavrakakis Georgios

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URIhttp://purl.tuc.gr/dl/dias/201CB514-4350-48CF-AF91-FE24E2ABE48C-
Identifierhttps://doi.org/.1080/00207728908910209-
Languageen-
Extent25 pagesen
TitleFast fault diagnosis for industrial processes applied to the reliable operation of robotic systemsen
CreatorPouliezos Anastasiosen
CreatorΠουλιεζος Αναστασιοςel
CreatorStavrakakis Georgiosen
CreatorΣταυρακακης Γεωργιοςel
PublisherTaylor & Francisen
Content SummaryFault detection, identification and monitoring play a primary role in systems engineering. This also holds for advanced processes, such as robotic systems, with highest demands on reliability and safety. A method is presented for fast fault detection and location, due to the data deweighting in the identification procedure of the monitored process parameters and the iterative on-line calculation of the statistics of the fault detection scheme. This method has many advantages for microcomputer applications and guarantees a very early process fault detection. Application of the method to the fast fault detection of the de motor actuators of a robotic system is described. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-19-
Date of Publication1989-
SubjectRobot programmingen
Subjectrobots programmingen
Subjectrobot programmingen
Bibliographic CitationA.D. Pouliezos ,G. Stavrakakis, "Fast fault diagnosis for industrial processes applied to the reliable operation of robotic systems,"Intern. J. of Systems Sc. ,vol.20,no.7 ,pp 1233-1257 ,1989.doi: 10.1080/00207728908910209 en

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