Abstract Reliability of the high-speed train air brake system is very critical to ensure a safe and comfortable operation environment for passengers. In our recently published work, a new monitoring strategy based on the concept of inter-variable variance (IVV) was proposed. It was illustrated by theoretical analysis and extensive experiments that this strategy is effective for several kinds of faults, and superior to the KNORR logic which is adopted by most high-speed trains in practice. However, the aforementioned strategy based on conventional IVV still suffers from two drawbacks. More specifically, due to the specific property of IVV, this strategy is unable to detect certain faults even if the fault is very serious; in addition, the detectability of conventional IVV for incipient faults with relatively small magnitudes still needs to improve. In this paper, a fault detection method incorporating the idea of four stages partition and involving a new combined statistic is presented to perform fault detection for high-speed train air brake systems. Through theoretical reasoning, it is pointed out that the proposed method can overcome drawbacks of the conventional IVV method to a large extent. To demonstrate the effectiveness and merits of the proposed fault detection method, in comparison with existing methods, experimental studies are carried out on a practical high-speed train air brake test bench.

中文翻译：

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结合指标的高速列车空气制动系统早期故障检测

摘要 高速列车空气制动系统的可靠性对于保障乘客安全、舒适的运行环境至关重要。在我们最近发表的工作中，提出了一种基于变量间方差 (IVV) 概念的新监测策略。理论分析和大量实验表明，该策略对多种故障均有效，且优于大多数高速列车在实践中采用的KNORR逻辑。然而，上述基于传统 IVV 的策略仍然存在两个缺点。更具体地说，由于IVV的特殊性，即使故障很严重，该策略也无法检测到某些故障；此外，常规IVV对于量级相对较小的早期故障的可检测性仍有待提高。在本文中，提出了一种结合四阶段划分思想并涉及新的组合统计量的故障检测方法，用于对高速列车空气制动系统进行故障检测。通过理论推理，指出所提出的方法可以在很大程度上克服传统IVV方法的缺点。为了证明所提出的故障检测方法的有效性和优点，与现有方法相比，在实际高速列车空气制动试验台上进行了实验研究。指出所提出的方法可以在很大程度上克服传统IVV方法的缺点。为了证明所提出的故障检测方法的有效性和优点，与现有方法相比，在实际高速列车空气制动试验台上进行了实验研究。指出所提出的方法可以在很大程度上克服传统IVV方法的缺点。为了证明所提出的故障检测方法的有效性和优点，与现有方法相比，在实际高速列车空气制动试验台上进行了实验研究。