TY - JOUR
T1 - A system-level incipient fault-detection method for HVAC systems
AU - Zhao, Yang
AU - Wang, Shengwei
AU - Xiao, Fu
PY - 2013/7/4
Y1 - 2013/7/4
N2 - A fault-detection method is proposed in this article to detect system-level incipient faults in HVAC&R systems. This method adopts performance indexes to indicate the health statuses of subsystems of HVAC systems. The support vector regression algorithm is used to develop the reference performance index models. The exponentially weighted moving average control chart is introduced to detect the residuals between the measured performance indexes and benchmark performance indexes. Validations are made on a simulation platform for a super-rise commercial building in Hong Kong. Three typical subsystems are considered in this study, i.e., the cooling tower system, chillers, and heat exchanger system. Results show that significant improvements are achieved on detecting incipient faults. The support vector regression based performance index models have higher accuracies than that of multiple linear regression based models. The exponentially weighted moving average based fault-detection method shows superior capacity for detecting incipient faults compared with t-statistic-based methods.
AB - A fault-detection method is proposed in this article to detect system-level incipient faults in HVAC&R systems. This method adopts performance indexes to indicate the health statuses of subsystems of HVAC systems. The support vector regression algorithm is used to develop the reference performance index models. The exponentially weighted moving average control chart is introduced to detect the residuals between the measured performance indexes and benchmark performance indexes. Validations are made on a simulation platform for a super-rise commercial building in Hong Kong. Three typical subsystems are considered in this study, i.e., the cooling tower system, chillers, and heat exchanger system. Results show that significant improvements are achieved on detecting incipient faults. The support vector regression based performance index models have higher accuracies than that of multiple linear regression based models. The exponentially weighted moving average based fault-detection method shows superior capacity for detecting incipient faults compared with t-statistic-based methods.
UR - http://www.scopus.com/inward/record.url?scp=84881298865&partnerID=8YFLogxK
U2 - 10.1080/10789669.2013.789371
DO - 10.1080/10789669.2013.789371
M3 - Journal article
VL - 19
SP - 593
EP - 601
JO - Science and Technology for the Built Environment
JF - Science and Technology for the Built Environment
SN - 2374-4731
IS - 5
ER -