Case-Based Reasoning Supports Fault Diagnosis Using Sensor Information

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.

This is the latest version of this item.

Full text not available from this repository.


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)
ID Code:5706
Deposited By:Tomas Olsson
Deposited On:29 Aug 2014 09:15
Last Modified:29 Aug 2014 09:15

Available Versions of this Item

Repository Staff Only: item control page