01965nam 2200397 450 991082905800332120230807203141.03-8325-9498-1(CKB)4340000000244351(MiAaPQ)EBC524710158a1c68e-e5c0-4433-9b94-3edeb0dd2d03(EXLCZ)99434000000024435120180521d2015 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAutomatic modeling and fault diagnosis of timed concurrent discrete event systems /Stefan SchneiderBerlin :Logos,[2015]©20151 online resource (184 pages)PublicationDate: 201505303-8325-3981-6 Long description: The productive operation of machines and facilities is of great economic importance for industrial companies. In order to achieve high productivity, unscheduled production downtimes induced by faults need to be minimized. In this work, an approach for modelbased fault diagnosis of timed concurrent Discrete Event Systems is proposed that can contribute to this aim. The models are automatically determined by timed identification and partitioning. These approaches allow for efficient modeling of large and complex industrial systems with concurrent behavior requiring only little system knowledge. The work explains the theoretical and practical aspects of the presented approaches and gives a detailed evaluation based on a laboratory manufacturing system.Discrete-time systemsDiscrete-time systems.003.83Schneider Stefan317621MiAaPQMiAaPQMiAaPQBOOK9910829058003321Automatic modeling and fault diagnosis of timed concurrent discrete event systems3995261UNINA