An expert rule-based fault diagnosis strategy for variable refrigerant flow air conditioning systems

•A rule-based fault diagnosis strategy is proposed for the VRF system.•22 expert rules are developed through expert knowledge and characteristics of the VRF system.•The fault diagnosis strategy is evaluated with data of nine faults types under cooling mode.•Nine faults are well diagnosed by the rule...

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Veröffentlicht in:Applied thermal engineering 2019-02, Vol.149, p.1223-1235
Hauptverfasser: Guo, Yabin, Wang, Jiangyu, Chen, Huanxin, Li, Guannan, Huang, Ronggeng, Yuan, Yue, Ahmad, Tanveer, Sun, Shaobo
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container_end_page 1235
container_issue
container_start_page 1223
container_title Applied thermal engineering
container_volume 149
creator Guo, Yabin
Wang, Jiangyu
Chen, Huanxin
Li, Guannan
Huang, Ronggeng
Yuan, Yue
Ahmad, Tanveer
Sun, Shaobo
description •A rule-based fault diagnosis strategy is proposed for the VRF system.•22 expert rules are developed through expert knowledge and characteristics of the VRF system.•The fault diagnosis strategy is evaluated with data of nine faults types under cooling mode.•Nine faults are well diagnosed by the rule-based fault diagnosis strategy. This paper proposed a novel fault diagnosis strategy of the variable refrigerant flow (VRF) system based on expert rules for the first time. The VRF fault diagnosis rules (VFDR) are obtained through the expert knowledge and characteristics of the VRF system. The VFDR includes a total of 22 expert rules, 10 rules for the outdoor unit and other 12 rules for the indoor unit. The proposed VFDR can help maintenance personnel to identify and eliminate VRF faults in time. In addition to obtaining the coefficients of the sensor regression model, the VFDR does not require a training process and is computationally simple, making it easily embedded in the building’s automatic control system to achieve online fault diagnosis. The proposed fault diagnosis strategy is validated with nine faults of the VRF system under cooling mode. These faults contain temperature sensor faults, the system fault and indoor unit faults. The diagnosis correct rate (DCR) is used to evaluate the performance of the VFDR. Through expert rules fault diagnosis strategy, the DCRs of all faults exceed 70% and the overall DCR of all faults is 85.13%. The results show that faults of VRF system are well diagnosed by fault diagnosis strategy based on expert rules.
doi_str_mv 10.1016/j.applthermaleng.2018.12.132
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This paper proposed a novel fault diagnosis strategy of the variable refrigerant flow (VRF) system based on expert rules for the first time. The VRF fault diagnosis rules (VFDR) are obtained through the expert knowledge and characteristics of the VRF system. The VFDR includes a total of 22 expert rules, 10 rules for the outdoor unit and other 12 rules for the indoor unit. The proposed VFDR can help maintenance personnel to identify and eliminate VRF faults in time. In addition to obtaining the coefficients of the sensor regression model, the VFDR does not require a training process and is computationally simple, making it easily embedded in the building’s automatic control system to achieve online fault diagnosis. The proposed fault diagnosis strategy is validated with nine faults of the VRF system under cooling mode. These faults contain temperature sensor faults, the system fault and indoor unit faults. The diagnosis correct rate (DCR) is used to evaluate the performance of the VFDR. Through expert rules fault diagnosis strategy, the DCRs of all faults exceed 70% and the overall DCR of all faults is 85.13%. 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This paper proposed a novel fault diagnosis strategy of the variable refrigerant flow (VRF) system based on expert rules for the first time. The VRF fault diagnosis rules (VFDR) are obtained through the expert knowledge and characteristics of the VRF system. The VFDR includes a total of 22 expert rules, 10 rules for the outdoor unit and other 12 rules for the indoor unit. The proposed VFDR can help maintenance personnel to identify and eliminate VRF faults in time. In addition to obtaining the coefficients of the sensor regression model, the VFDR does not require a training process and is computationally simple, making it easily embedded in the building’s automatic control system to achieve online fault diagnosis. The proposed fault diagnosis strategy is validated with nine faults of the VRF system under cooling mode. These faults contain temperature sensor faults, the system fault and indoor unit faults. The diagnosis correct rate (DCR) is used to evaluate the performance of the VFDR. Through expert rules fault diagnosis strategy, the DCRs of all faults exceed 70% and the overall DCR of all faults is 85.13%. 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This paper proposed a novel fault diagnosis strategy of the variable refrigerant flow (VRF) system based on expert rules for the first time. The VRF fault diagnosis rules (VFDR) are obtained through the expert knowledge and characteristics of the VRF system. The VFDR includes a total of 22 expert rules, 10 rules for the outdoor unit and other 12 rules for the indoor unit. The proposed VFDR can help maintenance personnel to identify and eliminate VRF faults in time. In addition to obtaining the coefficients of the sensor regression model, the VFDR does not require a training process and is computationally simple, making it easily embedded in the building’s automatic control system to achieve online fault diagnosis. The proposed fault diagnosis strategy is validated with nine faults of the VRF system under cooling mode. These faults contain temperature sensor faults, the system fault and indoor unit faults. 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subjects Air conditioners
Air conditioning
Automatic control systems
Embedded systems
Energy saving
Expert rules
Fault detection
Fault diagnosis
Flow velocity
On-line systems
Refrigerants
Refrigeration
Regression analysis
Regression models
Sensors
Strategy
Temperature sensors
Variable refrigerant flow
title An expert rule-based fault diagnosis strategy for variable refrigerant flow air conditioning systems
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