Towards Latent Faults Prevision
نویسندگان
چکیده
Improvements of predictive and corrective maintenance can be obtained by fault detection based on the prevision of the fault occurrence since the down time is prevented. The paper presents a solution to the abovementioned problem applied to the automation of a plant for automotive glass industry. The new approach is based on the learning and soft-computing processing of a set of measured variable. The aim is to insert an intelligent instrument in existing automation system.
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تاریخ انتشار 1999