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.
['Ramón Miralles', 'Juan Morales', 'Luis Vergara']
An industrial application of signal processing: ceramic microcrack detection