Flow meter fault isolation in building central chilling systems using wavelet analysis

Youming Chen, Xiaoli Hao, Guoqiang Zhang, Shengwei Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)


This paper presents an approach to isolate flow meter faults in building central chilling systems. It mathematically explains the fault collinearity among the flow meters in central chilling systems and points out that the sensor validation index (SVI) used in principal component analysis (PCA) is incapable of isolating flow meter faults due to the fault collinearity. The wavelet transform is used to isolate the flow meter faults as a substitute for the SVI of PCA. This approach can identify various variations in measuring signals, such as ramp, step, discontinuity etc., due to the good property of the wavelet in local time-frequency. Some examples are given to demonstrate its ability of fault isolation for the flow meters.
Original languageEnglish
Pages (from-to)1700-1710
Number of pages11
JournalEnergy Conversion and Management
Issue number13-14
Publication statusPublished - 1 Aug 2006


  • Central chilling system
  • Fault collinearity
  • Fault isolation
  • Flow meter
  • Wavelet transform

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology


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