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首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >Studies on the online intelligent diagnosis method of undercharging sub-health air source heat pump water heater
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Studies on the online intelligent diagnosis method of undercharging sub-health air source heat pump water heater

机译：低收烧亚健康空气源热泵热水器的在线智能诊断方法研究

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摘要

Due to its significant energy savings, the use of air source heat pump water heater (ASHPWH) has increased rapidly in recent years. Pipeline seal issues, improper installation, and other reasons can cause refrigerant leakage. Minimal refrigerant leakage causes slight changes in system characteristics and is difficult to notice, thus people always determine the system to be normal. Refrigerant leakage can cause the system to deviate from the reasonable working conditions for a long time, resulting in the decline of system performance, efficiency drop, and increase in energy consumption. In this paper, the concept of sub-health operation of heat pump systems is proposed to distinguish the transition state between normal and faulty. Based on this concept, the research on the changes of sub-health is proposed with an online intelligent diagnosis method. This diagnosis method utilizes the data of normal system operations to train a diagnostic model, and it does not need fault marking data, which reduces the difficulty of data acquisition. The proposed method can achieve accurate fitting of unsteady systems with resistance to heat transfer environment fluctuations and is better suited for online diagnosis. It has been verified by experiments that this method can achieve online diagnosis of refrigerant leakage of ASHPWH, and it is a feasible and efficient sub-health diagnosis method.
机译：由于其显着节省，近年来使用空气源热泵热泵热水器（ASHPWH）迅速增加。管道密封问题，安装不当等原因可能导致制冷剂泄漏。最小的制冷剂泄漏导致系统特征的微小变化，难以注意到，因此人们总是确定系统正常。制冷剂泄漏可能导致系统偏离合理的工作条件很长一段时间，导致系统性能，效率下降和能耗增加的下降。在本文中，提出了热泵系统的亚健康操作的概念，以区分正常和故障之间的过渡状态。基于这一概念，提出了在线智能诊断方法提出了亚健康变化的研究。该诊断方法利用正常系统操作的数据来训练诊断模型，并且它不需要故障标记数据，这减少了数据采集的难度。该方法可以实现具有耐热环境波动的不稳定系统的准确拟合，并且更适合在线诊断。通过实验验证了该方法可以实现ASHPWH的制冷剂泄漏的在线诊断，并且是一种可行有效的亚健康诊断方法。

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