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Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17

Editor
C. H. Dagli
C. H. Dagli
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ISBN-10:
0791802655
No. of Pages:
650
Publisher:
ASME Press
Publication date:
2007

This paper presents a generic methodology for automatically generating fuzzy sets from acquired sensor data, for monitoring purposes. The novel method, denoted Accumulated Step Deviation (ASD), was devised within the scope of a European Space Agency (ESA) project, called MODI. MODI's main objective was to develop two monitoring systems: one for monitoring a drill and another for terrain detection. This project included an automatic learning module, where the ASD method was used. The ASD method is based on the traditional data preparation process, which begins with data acquisition from sensors and ends with the automatic generation of fuzzy sets to be used as input variables by the monitoring system. An illustrative example is used to discuss the behavior of the ASD method and perform a comparative study between the ASD method and a traditional Trapezoidal method.

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