| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 2.47 MB | Adobe PDF |
Advisor(s)
Abstract(s)
To compete in the global market the manufacturers must introduce new high quality products in short time. This ideal requires a fast evaluation of new products and the guarantee of availability of the critical machines in a production line, typically by reducing the maintenance shut-downs. Roughly, the diagnosis’ process consist in comparing the machine’s actual behavior with the known one under a specific (common) failure, namely monitoring any change of its dynamics. Unfortunately, the manufacturers rarely supply any dynamical model and consequently it is identified using naive transfer function structures of integer order. In this respective, we evaluate an integer second order model and a similar structure of a fractional one to identify a system under different types of failures. The fractional order model outperforms the integer one, suggesting that it represents better the machine condition when using compact equations.