Xiong, Ning and Funk, Peter and Olsson, Tomas (2012) Case-Based Reasoning Supports Fault Diagnosis Using Sensor Information. In: The 2nd International Workshop and Congress on eMaintenance, 12-13 Dec 2012, Luleå, Sweden. (In Press)
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Fault diagnosis and prognosis of industrial equipment become increasingly important for improving the quality of manufacturing and reducing the cost for product testing. This paper advocates that computer-based diagnosis systems can be built based on sensor information and by using case-based reasoning methodology. The intelligent signal analysis methods are outlined in this context. We then explain how case-based reasoning can be applied to support diagnosis tasks and four application examples are given as illustration. Further, discussions are made on how CBR systems can be integrated with machine learning techniques to enhance its performance in practical scenarios.
|Item Type:||Conference or Workshop Item (Paper)|
|Deposited By:||Tomas Olsson|
|Deposited On:||17 Dec 2012 12:37|
|Last Modified:||29 Aug 2014 09:15|
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