Abstract
The paper considers issues of improving the reliability of operation of pipelines of heating networks. A description of the created diagnostic complex is given, with the help of which it is possible to determine the technical condition of pipelines in polyurethane foam insulation. Finite-element models were constructed and modal calculations of defective and defect-free pipelines in polyurethane foam insulation were carried out. The analysis of the received acoustic signals was carried out using neural network algorithms. The results of processing acoustic vibrations of pipelines by a neural network showed a high efficiency in identifying pipelines by their state (defective / defect-free).
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