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Neural Nets WIRN Vietri-99
This paper addresses the use of neural network methods to perform real-time quality control in industrial assembly lines of DC Permanent Magnet Motors (PM). This task can be viewed as a difficult non-linear inverse identification problem. Due to long parameter setting time, noisy environment and in some cases human supervision requirements, these methods are not adequate for realtime applications. Moreover, PM quality control requires the satisfaction of particular specifications rather thandoi:10.1007/978-1-4471-0877-1_40 fatcat:lur4tpih55hl5asitk5czbp3gy