Sensor Fault Diagnosis for Air Handling Unit of Heating Ventilation and Air Conditioning Based on Voting Mechanism

YAN Ying; CAI Jun; WU Qi; ZHANG Xin; YANG Yi

doi:10.11999/JEIT221506

Volume 46 Issue 1

Jan. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(1): 258-266

YAN Ying, CAI Jun, WU Qi, ZHANG Xin, YANG Yi. Sensor Fault Diagnosis for Air Handling Unit of Heating Ventilation and Air Conditioning Based on Voting Mechanism[J]. Journal of Electronics & Information Technology, 2024, 46(1): 258-266. doi: 10.11999/JEIT221506

Citation:

YAN Ying, CAI Jun, WU Qi, ZHANG Xin, YANG Yi. Sensor Fault Diagnosis for Air Handling Unit of Heating Ventilation and Air Conditioning Based on Voting Mechanism[J]. Journal of Electronics & Information Technology, 2024, 46(1): 258-266. doi: 10.11999/JEIT221506

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Sensor Fault Diagnosis for Air Handling Unit of Heating Ventilation and Air Conditioning Based on Voting Mechanism

doi: 10.11999/JEIT221506

YAN Ying^{1, 2},
CAI Jun^{1, 2, 3},
WU Qi⁴,
ZHANG Xin⁵,
YANG Yi^{1, 2
,
,}

1.
School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China
2.
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China
3.
Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan 618307, China
4.
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
5.
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Funds: The National Natural Science Foundation of China (52077105), The Natural Science Foundation of Jiangsu Province (BK20211285)

Received Date: 2022-12-05
Rev Recd Date: 2023-02-14

Available Online: 2023-02-19

Publish Date: 2024-01-17

Abstract

Abstract

Existing fault diagnosis methods developed for Air Handling Unit (AHU) of Heating Ventilation and Air Conditioning (HVAC) tend to be centralized. The few distributed methods usually require solving a large number of time-consuming optimization problems, making it impossible to complete fault diagnosis in a timely manner. In response to the above challenges, a distributed fault diagnosis method based on a novel voting mechanism is proposed. In this method, a novel voting mechanism is proposed to establish a Boltzmann machine to describe the sensor network, determine the edge weights of the Boltzmann machine through mutual voting among sensors, and iterate over the state of the Boltzmann machine, which is also the state of the sensors, based on the edge weights to locate the sensor faults. Moreover, a novel voting strategy based on Euclidean distance is designed to determine the voting values. Additionally, a method is developed to reset the Boltzmann machine’s weight matrix by adding a node to the Boltzmann machine, which maintains the original voting relationship among the sensors while symmetrizing the Boltzmann machine to ensure convergence of the iteration of the Boltzmann machine state. This method does not need solving many optimization problems, leading to lower computational requirements compared to existing distributed methods. The proposed method is validated using actual data provided by ASHRAE Project RP-1312. The experimental results show that the proposed method can accurately and efficiently diagnose bias and drift faults in AHU sensors.
- Fault diagnosis,
- Voting mechanism,
- Decentralized,
- Sensor,
- Boltzmann machine

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References(17)

References

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