Experimental study on electrical signatures of common faults for packaged DX rooftop units

Yunhua Li, Mingsheng Liu, Josephine Lau, Bei Zhang

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Fault detection and diagnosis (FDD) is an effective way to automatically detect the existing faults of a rooftop unit (RTU) and increase the reliability and availability of system. Most existing FDD methods use thermodynamic signals as fault indicators. Recently, however, major concerns have arisen in regards to whether refrigerant-related temperature sensors and intrusive pressure measurements are reliable. Electrical signal measurements provide plenty of information about a system but require the use of an electrical meter. One way to solve this issue is to install variable frequency drives (VFDs) on the HVAC system, since VFDs not only optimize the system performance, but also provide electrical parameter readings. In this study, a series of lab experiments were conducted to investigate the relationship between the electrical signals and common faults. Since environmental influences have been correlated with the system performance, the impact of several driving conditions on the electrical signals was also investigated. This study identified an electrical signature for each fault and individually separated the common faults based on three parameters: the fan power, compressor power, and the supply air temperature. The results of the study are of use to the development and implementation of a new FDD method based on combining the electrical and temperature parameter measurements.

Original languageEnglish (US)
Pages (from-to)401-415
Number of pages15
JournalEnergy and Buildings
Volume77
DOIs
StatePublished - Jan 1 2014

Fingerprint

Fault detection
Failure analysis
Temperature sensors
Refrigerants
Pressure measurement
Fans
Compressors
Availability
Thermodynamics
Temperature
Air
Experiments

Keywords

  • Electrical signatures
  • Experimental study
  • Fault detection and diagnosis
  • Faults
  • Rooftop units

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Cite this

Experimental study on electrical signatures of common faults for packaged DX rooftop units. / Li, Yunhua; Liu, Mingsheng; Lau, Josephine; Zhang, Bei.

In: Energy and Buildings, Vol. 77, 01.01.2014, p. 401-415.

Research output: Contribution to journalArticle

@article{7bd146959cf94fe6aeba0a54db4c5efc,
title = "Experimental study on electrical signatures of common faults for packaged DX rooftop units",
abstract = "Fault detection and diagnosis (FDD) is an effective way to automatically detect the existing faults of a rooftop unit (RTU) and increase the reliability and availability of system. Most existing FDD methods use thermodynamic signals as fault indicators. Recently, however, major concerns have arisen in regards to whether refrigerant-related temperature sensors and intrusive pressure measurements are reliable. Electrical signal measurements provide plenty of information about a system but require the use of an electrical meter. One way to solve this issue is to install variable frequency drives (VFDs) on the HVAC system, since VFDs not only optimize the system performance, but also provide electrical parameter readings. In this study, a series of lab experiments were conducted to investigate the relationship between the electrical signals and common faults. Since environmental influences have been correlated with the system performance, the impact of several driving conditions on the electrical signals was also investigated. This study identified an electrical signature for each fault and individually separated the common faults based on three parameters: the fan power, compressor power, and the supply air temperature. The results of the study are of use to the development and implementation of a new FDD method based on combining the electrical and temperature parameter measurements.",
keywords = "Electrical signatures, Experimental study, Fault detection and diagnosis, Faults, Rooftop units",
author = "Yunhua Li and Mingsheng Liu and Josephine Lau and Bei Zhang",
year = "2014",
month = "1",
day = "1",
doi = "10.1016/j.enbuild.2014.04.008",
language = "English (US)",
volume = "77",
pages = "401--415",
journal = "Energy and Buildings",
issn = "0378-7788",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Experimental study on electrical signatures of common faults for packaged DX rooftop units

AU - Li, Yunhua

AU - Liu, Mingsheng

AU - Lau, Josephine

AU - Zhang, Bei

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Fault detection and diagnosis (FDD) is an effective way to automatically detect the existing faults of a rooftop unit (RTU) and increase the reliability and availability of system. Most existing FDD methods use thermodynamic signals as fault indicators. Recently, however, major concerns have arisen in regards to whether refrigerant-related temperature sensors and intrusive pressure measurements are reliable. Electrical signal measurements provide plenty of information about a system but require the use of an electrical meter. One way to solve this issue is to install variable frequency drives (VFDs) on the HVAC system, since VFDs not only optimize the system performance, but also provide electrical parameter readings. In this study, a series of lab experiments were conducted to investigate the relationship between the electrical signals and common faults. Since environmental influences have been correlated with the system performance, the impact of several driving conditions on the electrical signals was also investigated. This study identified an electrical signature for each fault and individually separated the common faults based on three parameters: the fan power, compressor power, and the supply air temperature. The results of the study are of use to the development and implementation of a new FDD method based on combining the electrical and temperature parameter measurements.

AB - Fault detection and diagnosis (FDD) is an effective way to automatically detect the existing faults of a rooftop unit (RTU) and increase the reliability and availability of system. Most existing FDD methods use thermodynamic signals as fault indicators. Recently, however, major concerns have arisen in regards to whether refrigerant-related temperature sensors and intrusive pressure measurements are reliable. Electrical signal measurements provide plenty of information about a system but require the use of an electrical meter. One way to solve this issue is to install variable frequency drives (VFDs) on the HVAC system, since VFDs not only optimize the system performance, but also provide electrical parameter readings. In this study, a series of lab experiments were conducted to investigate the relationship between the electrical signals and common faults. Since environmental influences have been correlated with the system performance, the impact of several driving conditions on the electrical signals was also investigated. This study identified an electrical signature for each fault and individually separated the common faults based on three parameters: the fan power, compressor power, and the supply air temperature. The results of the study are of use to the development and implementation of a new FDD method based on combining the electrical and temperature parameter measurements.

KW - Electrical signatures

KW - Experimental study

KW - Fault detection and diagnosis

KW - Faults

KW - Rooftop units

UR - http://www.scopus.com/inward/record.url?scp=84899623484&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899623484&partnerID=8YFLogxK

U2 - 10.1016/j.enbuild.2014.04.008

DO - 10.1016/j.enbuild.2014.04.008

M3 - Article

VL - 77

SP - 401

EP - 415

JO - Energy and Buildings

JF - Energy and Buildings

SN - 0378-7788

ER -