The paper describes a stalldetection criterion based on the use of symmetrised dot pattern (SDP) visual waveform analysis and\r\nthe stallwarning methodology based on a recently developed analysis. The experimental study explores the capability of the\r\nSDP technique to detect the stall incipience and evolution in the presence of low signal-to-noise ratios, that is, a noisy working\r\nenvironment. Moreover, the investigation presents a systematic analysis on the probe position�s influence with respect to the fan\r\nsection. As such, the SDP technique in combination with an acoustic measurement is able to create a visual pattern that one can\r\nuse to detect stall from potentially any location around the fan/duct system.
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