直升机航向姿态系统机内测试降虚警方法

A Method of Reducing Bult-in Test False Alarm in Helicopter Heading Attitude System

振动、温度等环境因素导致的虚警问题严重阻碍着机内测试在直升机航向姿态系统中的应用,针对该问题建立了航向姿态系统机内测试的隐马尔科夫模型,采用正常、虚警、故障等历史信息训练该模型。提出了基于隐马尔科夫模型的降虚警方法,该历史信息与当前机内测试结果相结合,监测识别机内测试虚警。某型直升机航向姿态系统机内测试试验结果表明,该方法可以有效地降低机内测试虚警。

The false alarm caused by vibrations and temperatures seriously hinders the application of built-in test (BIT) to the helicopter heading attitude system. To solve this problem, a hidden Markov model(HMM) of helicopter heading attitude system BIT was built. The model was trained by historical data, including normal, false alarm and fault data. A method of reducing false alarm was proposed based on HMM. According to the method, the BIT result was integrated with the historical information to identify the BIT false alarm. The experimental result in a helicopted heading attitude system BIT shows that the method can reduce the BIT false alarm effectively.