A Distributed Architecture for HVAC Sensor Fault Detection and Isolation

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

Research output: Contribution to journalArticleScientificpeer-review

45 Citations (Scopus)


This paper presents a design and analysis methodology for detecting and isolating multiple sensor faults in heating, ventilation, and air-conditioning (HVAC) systems. The proposed methodology is developed in a distributed framework, considering a multizone HVAC system as a set of interconnected nonlinear subsystems. A dedicated local sensor fault diagnosis (LSFD) agent is designed for each subsystem, while it may exchange information with other LSFD agents. Distributed sensor fault detection is conducted using robust analytical redundancy relations of estimation-based residuals and adaptive thresholds. The distributed sensor fault isolation procedure is carried out by combining the decisions of the LSFD agents and applying a reasoning-based decision logic. The performance of the proposed methodology is analyzed with respect to robustness, sensor fault detectability, and isolability. Simulation results are used for illustrating the effectiveness of the proposed methodology applied to an eight-zone HVAC system.

Original languageEnglish
Article number6964806
Pages (from-to)1323-1337
JournalIEEE Transactions on Control Systems Technology
Issue number4
Publication statusPublished - 2015
Externally publishedYes


  • and air conditioning (HVAC) system
  • Distributed fault diagnosis
  • fault detection
  • fault isolation
  • heating
  • sensor faults
  • ventilation


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