TY - GEN
T1 - A formal approach to provide information and visualization support for troubleshooting of HVAC related problems
AU - Yang, Xue
AU - Ergan, Semiha
PY - 2014
Y1 - 2014
N2 - Heating Ventilation and Air Conditioning (HVAC) systems in buildings provide occupants comfortable indoor environment, and HVAC related problems affect occupants' health and productivity. Though many approaches have been proposed for automated fault detection and diagnosis for HVAC systems to enable preventive or even proactive maintenance, responding and troubleshooting complaints, i.e., corrective maintenance, is still a reality and among the fundamental services provided by Facilities Management (FM) groups (DoE 2010). It is known that troubleshooting HVAC related problems is a challenging task due to lack of apparent causes when problems occur and information access/verification issues during the troubleshooting process. Such challenges affect HVAC maintenance staffs' working efficiency to identify possible causes and collect required information. This paper presents an overview of a formal approach that enables identification, generation and visualization of the information that is required by HVAC maintenance staffs for troubleshooting of HVAC related problems.
AB - Heating Ventilation and Air Conditioning (HVAC) systems in buildings provide occupants comfortable indoor environment, and HVAC related problems affect occupants' health and productivity. Though many approaches have been proposed for automated fault detection and diagnosis for HVAC systems to enable preventive or even proactive maintenance, responding and troubleshooting complaints, i.e., corrective maintenance, is still a reality and among the fundamental services provided by Facilities Management (FM) groups (DoE 2010). It is known that troubleshooting HVAC related problems is a challenging task due to lack of apparent causes when problems occur and information access/verification issues during the troubleshooting process. Such challenges affect HVAC maintenance staffs' working efficiency to identify possible causes and collect required information. This paper presents an overview of a formal approach that enables identification, generation and visualization of the information that is required by HVAC maintenance staffs for troubleshooting of HVAC related problems.
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M3 - Conference contribution
AN - SCOPUS:84912570985
T3 - EG-ICE 2014, European Group for Intelligent Computing in Engineering - 21st International Workshop: Intelligent Computing in Engineering 2014
BT - EG-ICE 2014, European Group for Intelligent Computing in Engineering - 21st International Workshop
PB - Universiteit Twente
T2 - 21st International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2014
Y2 - 16 July 2014 through 18 July 2014
ER -