Manna, Carlo (2010) Automatic Monitoring, Fault Diagnostics, and Maintenance based on Meta-heuristic Optimization. [Tesi di dottorato] (Inedito)

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Automatic Monitoring, Fault Diagnostics, and Maintenance based on Meta-heuristic Optimization
Autori:
AutoreEmail
Manna, Carlomanna.cnr@gmail.com
Data: 30 Novembre 2010
Numero di pagine: 132
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Ingegneria elettrica
Scuola di dottorato: Ingegneria industriale
Dottorato: Ingegneria elettrica
Ciclo di dottorato: 23
Coordinatore del Corso di dottorato:
nomeemail
Carpinelli, Guidoguido.carpinelli@unina.it
Tutor:
nomeemail
Arpaia, Pasqualearpaia@unisannio.it
Polese, Nello[non definito]
Data: 30 Novembre 2010
Numero di pagine: 132
Parole chiave: fault detection, soft computing
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/07 - Misure elettriche e elettroniche
Depositato il: 02 Dic 2010 10:59
Ultima modifica: 30 Apr 2014 19:45
URI: http://www.fedoa.unina.it/id/eprint/8327

Abstract

This thesis deals with a meta-heuristic approach to enhance automatic fault monitoring in man-made systems. Fault monitoring indicates the set of logical steps appropriate to the detection, identification, and prevention of anomalies in an entire system or structure. In particular, in literature, such steps are defined as: fault detection, fault isolation, in-time prognosis and predictive maintenance. On the other hand, the attribute meta-heuristic focuses on computational methods to solve optimization problems by trying to improve a candidate solution iteratively with regard to a given index of quality. Therefore, in the present thesis, for each of the above phase of fault monitoring (i.e. fault detection, isolation, and so on), a meta-heuristic approach is proposed and tested experimentally in an actual industrial environment. The methods proposed in the thesis were validated on specific problems, but their applicability is wide and general intrinsically.

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