Abstract:
Real leak signals, acquired in industrial
pipeline systems may manifest two typical non
stationary signatures: abrupt amplitude random
changes on one side and a time varying mean on the
other side. This paper proposes a pre-processing
algorithm for extracting stationary information from the
received signals, in order to improve the leak location on
the pipe. This method combines the wavelet de-noising
technique with a segmentation algorithm. Comparative
results show that, in addition, by using a pre-whitening
filter and closing the pipeline’s end, improved estimates
can be obtained.
