The benefits of machine condition monitoring have been widely recognized as superior with respect to other alternative maintenance approaches. As matter of fact, condition monitoring is an operational strategy for machine integrity assessment, fault identification and life extension. The cost-benefit ratio will be reduced in progress owing to the commercial diagnostic environment availability. This paper presents the implementation of a diagnostic procedure to detect induction machine stator faults based on LabVIEW environment. The diagnosis is performed by using a suitable neural network, trained by faulted machine simulator, that has, as input variables, the negative sequence current component and the variation of the positive sequence current component between actual and healthy machine conditions. The statement of a trigger threshold that discerns between true faults and intrinsic disymmetry of the machine is discussed as well.

Induction machine stator fault on-line diagnosis based on LabVIEW environment / Collamati, L.; Filippetti, F.; Franceschini, G.; Pirani, S.; Tassoni, C.. - 1:(1996), pp. 495-498. (Intervento presentato al convegno Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3) tenutosi a Bari, Italy, null nel 1996).

Induction machine stator fault on-line diagnosis based on LabVIEW environment

Franceschini, G.;
1996

Abstract

The benefits of machine condition monitoring have been widely recognized as superior with respect to other alternative maintenance approaches. As matter of fact, condition monitoring is an operational strategy for machine integrity assessment, fault identification and life extension. The cost-benefit ratio will be reduced in progress owing to the commercial diagnostic environment availability. This paper presents the implementation of a diagnostic procedure to detect induction machine stator faults based on LabVIEW environment. The diagnosis is performed by using a suitable neural network, trained by faulted machine simulator, that has, as input variables, the negative sequence current component and the variation of the positive sequence current component between actual and healthy machine conditions. The statement of a trigger threshold that discerns between true faults and intrinsic disymmetry of the machine is discussed as well.
1996
Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3)
Bari, Italy, null
1996
1
495
498
Collamati, L.; Filippetti, F.; Franceschini, G.; Pirani, S.; Tassoni, C.
Induction machine stator fault on-line diagnosis based on LabVIEW environment / Collamati, L.; Filippetti, F.; Franceschini, G.; Pirani, S.; Tassoni, C.. - 1:(1996), pp. 495-498. (Intervento presentato al convegno Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3) tenutosi a Bari, Italy, null nel 1996).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1150762
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