Distributed adaptive estimation scheme for isolation of sensor faults in multi-zone HVAC systems

Panayiotis M. Papadopoulos, Vasso Reppa, Marios M. Polycarpou, Christos G. Panayiotou

Research output: Contribution to journalConference articleScientificpeer-review

8 Citations (Scopus)

Abstract

This paper presents a model-based distributed scheme with emphasis on the isolation of sensor faults in multi-zone heating, ventilating and air-conditioning (HVAC) systems. A bank of local sensor fault detection and isolation agents are designed to diagnose sensor faults in a HVAC system, modeled as a set of interconnected, nonlinear subsystems. Each agent consists of the local sensor fault detection and adaptive estimation scheme for isolation of sensor faults. Detection and isolation signals are generated based on analytical redundancy relations. These signals are provided to a local decision logic in order to distinguish between local and propagated sensor faults. Simulation results are used to illustrate the effectiveness of the proposed methodology applied to a four-zone HVAC system.

Original languageEnglish
Pages (from-to)1146-1151
Number of pages6
JournalIFAC-PapersOnline
Volume28
Issue number21
DOIs
Publication statusPublished - 1 Sep 2015
Externally publishedYes
Event9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015 - Paris, France
Duration: 2 Sep 20154 Sep 2015

Keywords

  • Distributed fault diagnosis
  • Fault detection
  • Fault isolation
  • HVAC system
  • Sensor fault
  • Smart buildings

Fingerprint

Dive into the research topics of 'Distributed adaptive estimation scheme for isolation of sensor faults in multi-zone HVAC systems'. Together they form a unique fingerprint.

Cite this