| 摘要: |
| 变风量(VAV)送风系统具有传感器数量少、诊断信息不足、故障特征相似等特点，传统被动式故障检测与诊断(FDD)方法难以实现系统故障的有效分离。本文提出一种新型主动式故障检测与诊断方法，通过向系统添加小扰动获取的额外诊断信息，可对被动式方法无法分离的可疑故障进一步诊断。在TRNSYS仿真平台上搭建了可模拟常见故障的变风量空调系统，通过向故障系统添加主动式行为验证方法的可行性与准确性。结果表明：该主动式故障检测与诊断方法可成功诊断出12种变风量末端常见故障，诊断与检测能力较传统被动式方法具有较大提升。 |
| 关键词: 变风量系统 故障检测与诊断 主动式 变风量末端 |
| DOI： |
| 投稿时间：2017-11-12 修订日期：2018-12-21
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| 基金项目:国家自然科学基金项目（51706197），浙江省文物局文物保护科技项目（2015012）和浙江省自然科学基金项目（LY15E060003）资助。 |
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| Proactive Fault Detection and Diagnosis Method for VAV Terminals in Air Conditioning System |
|
Li Peijie, Zhao Yang, Zhang Xuejun, Zhang Chunwei, Fan Yubin
|
| (Key Laboratory of Refrigeration and Cryogenic Technology of Zhejiang Province, Institute of Refrigeration and Cryogenics, Zhejiang University, Hangzhou) |
| Abstract: |
| A variable air volume（VAV）system exhibits the feature of limited sensors and similar characteristics of fault conditions. A traditional passive fault detection and diagnosis（FDD）method does not diagnose all faults in VAV systems due to limited information. Thus, it is necessary to obtain more diagnostic information while not necessitating additional sensors and labor. In the study, a proactive fault detection and diagnosis method was proposed to solve the problem. The method obtains more valuable diagnosis information via the introduction of small disturbances during working time immediately when faults occur. Hence, this further aids in diagnosing suspicious faults that cannot be separated via passive methods. The passive method was also combined with proactive methods to improve the FDD efficiency. In order to verify the feasibility of the method, a VAV air conditioning system was constructed in the TRNSYS simulation platform. Additional diagnosis information was obtained by introducing faults in VAV terminals and introducing proactive action. Additionally, the simulation results indicate that the method can effectively detect and diagnose 12 common faults in VAV terminals. Furthermore, the diagnostic and detection mechanism is more advanced when compared with that of traditional passive methods. |
| Key words: VAV system fault detection and diagnosis proactive VAV terminals |
