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Technical Note: A Condition Classification System for Reciprocating Compressors

Author(s):




Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 3
Page(s): 277-284
DOI: 10.1177/1475921704045628
Abstract:

This paper proposes a classification system for damage detection that combines the discrete wavelet transform, a statistical methodology, and neural networks. In the proposed system, vibration signals of compressors are acquired as initial system inputs. The condition features are extracted by statistical moments of wavelet coefficients before entering the networks. The proposed on-line classification system can automatically classify a normal or faulty compressor. The system has been implemented to increase product reliability and reduce downtime for a large production facility.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/1475921704045628.
  • About this
    data sheet
  • Reference-ID
    10561493
  • Published on:
    11/02/2021
  • Last updated on:
    19/02/2021
 
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