Validating BMS sensors for chiller condition monitoring

Shengwei Wang, Jinbo Wang, John Burnett

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

A method based on energy balance is developed for diagnosing and validating the health states of the building management system (BMS) sensors (faults and biases) for monitoring chiller condition. A normalized energy balance residual is defined and used as the indices for fault detection. A characteristic quantity is derived for diagnosing flow meter faults without needing to know the temperature sensor biases. A robust algorithm is developed for estimating the magnitude of the flow meter biases. The sensor fault validation method, verification of the method using dynamic simulation programs and application to an existing chilling plant are presented.
Original languageEnglish
Pages (from-to)201-225
Number of pages25
JournalTransactions of the Institute of Measurement & Control
Volume23
Issue number4
DOIs
Publication statusPublished - 1 Jan 2001

Keywords

  • chiller monitoring
  • diagnosis
  • evaluation
  • fault detection
  • sensor

ASJC Scopus subject areas

  • Instrumentation

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