Name
Abstract | ||
|---|---|---|
On line quality control in industrial plants is an open field for signal processing applications. In this paper we present a real-time prototype for the detection of microcracks in tiles of wet ceramic by means of ultrasonics. We also describe the signal processing algorithm applied and particularly how the false alarm probability (PFA) may be controlled. Finally an experimental test shows the agreement between the predicted PFA and the measured one, thus giving practical applicability to the proposed method. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/ICASSP.1999.758390 | Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference |
Keywords | Field | DocType |
acoustic signal detection,acoustic signal processing,ceramics,crack detection,industrial plants,microcomputer applications,microcracks,quality control,signal processing equipment,ultrasonic materials testing,calibration,ceramic microcrack detection,detector,experimental test,false alarm probability,industrial application,industrial plants,online quality control,real-time prototype,signal processing,signal processing algorithm,tiles,ultrasonic echo data,ultrasonics,wet ceramic | Ceramic,Signal processing,False alarm,Pattern recognition,Computer science,Electronic engineering,Artificial intelligence,Signal processing algorithms,Embedded system | Conference |
Volume | ISSN | ISBN |
4 | 1520-6149 | 0-7803-5041-3 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Miralles | 1 | 7 | 4.31 |
| Morales, J. | 2 | 8 | 0.89 |
| L. Vergara | 3 | 68 | 18.45 |