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IIR document

Intelligent fault detection for refrigerated reefer containers.

Number: pap. n. 1089

Author(s) : WRONSKI J., JONSSON R. I.

Summary

Traditionally, the shipping industry spends a considerable amount of money on pre-trip inspections (PTIs) of refrigerated reefer containers. The objective of this work is to cut these expenses and to improve the fault detection performance using online system monitoring. The presented approach is based on advanced statistical methods and creates fingerprints for each container to determine normal and faulty operation. The novelty is that a refrigeration unit simulation code has been integrated tightly with the detection algorithm using one generalized model for all container types running with either R134a or R404A as refrigerant. Measurements and simulation results are eventually combined to assess the units’ performance and to trigger or to postpone maintenance and repair actions. After 5 years of operation and millions of analyzed trips, the efficiency of the reefer maintenance operations could be improved by over 40%.

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Pages: 8

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Details

  • Original title: Intelligent fault detection for refrigerated reefer containers.
  • Record ID : 30026258
  • Languages: English
  • Source: Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
  • Publication date: 2019/08/24
  • DOI: http://dx.doi.org/10.18462/iir.icr.2019.1089

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