DocumentCode
2848111
Title
A pragmatic approach to fault diagnosis in hydraulic circuits for automated machining: A case study
Author
Ferrarini, Luca ; Brusa, Roberto ; Veber, Carlo
Author_Institution
Dipt. di Elettron. e Inf., Politec. di Milano, Milan
fYear
2008
fDate
23-26 Aug. 2008
Firstpage
29
Lastpage
34
Abstract
The paper deals with the problem of fault detection and isolation in machining centers, which are the basis of FMSpsila. The problem is of paramount importance since an effective diagnostic system can lead to a significant increase in the autonomy of an automated system. The paper considers a special case study: an hydraulic circuit which blocks and unblocks the pallet on the rotary table in a machining centre. On the one hand, a practical approach is to insert suitable error handling functions inside the control model. This is extremely easy and efficient to discover non-nominal behaviors, but it is useless to identify the root causes of such behaviors (faults). On the other hand, theoretical approaches are able to automatically synthesize an observer that is able to detect a fault when diagnosability conditions apply. Unfortunately, the diagnosability conditions do not always apply in real industrial applications, where some diagnostics analysis should be done anyway. Dually, when applicable, diagnosability may depend upon other rare events or even on some other faults, which may impair its practical applicability. The paper investigates the pragmatic use of known theoretical techniques with the special aim at providing the human operator with all the possible information in real applications.
Keywords
control system synthesis; fault diagnosis; flaw detection; flexible manufacturing systems; hydraulic systems; machine tools; machining; observers; FMS; automated machining centre; automatic observer synthesis; error handling function; fault detection; fault diagnosis; fault isolation; flexible manufacturing system; hydraulic circuit control; rotary table; Automatic control; Circuit faults; Control systems; Data mining; Discrete event systems; Electrical fault detection; Fault detection; Fault diagnosis; Machining; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
Conference_Location
Arlington, VA
Print_ISBN
978-1-4244-2022-3
Electronic_ISBN
978-1-4244-2023-0
Type
conf
DOI
10.1109/COASE.2008.4626492
Filename
4626492
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