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为了实现对重庆市轻轨轨道梁关键受力构件锚固螺杆的松动与失效等故障检测,对锚固螺杆的振动信号进行了经验模态分解的研究,建立了在役锚固螺杆健康状况检测系统。首先,求解出从试验台采集到的各锚固螺杆不同已知紧固力矩下振动信号的脉冲响应信号;其次,对其进行EMD分解,并将包含其主要信息量的第一、二本征模态的主频率、主峰幅度值、模态能量、模态几何平均值等特征进行提取,形成特征包,作为模式识别的判据;最后,将这种方法从试验锚固螺杆推广应用于现场锚固螺杆诊断。大量数据证明,该方法对锚固螺杆松动与失效故障的识别漏检率为0冤检率亦可控制在10%以下,因此可以作为锚固螺杆是否处于正常服役状态的依据。为轻轨锚固螺杆故障检测提供了新的诊断方法。
In order to detect the loosening and failure of the anchoring screws of the key components of Chongqing Light Rail orbit beam, empirical mode decomposition of the vibration signal of the anchoring screw was studied, and the health condition testing system of in-service anchoring screws was established. Firstly, the impulse response signals of vibration signals collected by the test rig at different tightening torques of different anchoring screws are obtained. Secondly, EMD decomposition is carried out and the first and second eigenmodes State of the main frequency, the main peak amplitude value, modal energy, modal geometric mean and other characteristics were extracted, the formation of the characteristic package, as a criterion for pattern recognition; Finally, this method from the experimental anchoring screw is widely used in the field of anchoring screw diagnosis. A large number of data show that the method of anchor screw loose and failure failure detection rate of 0 injustice detection rate can be controlled at 10% or less, it can be used as an anchor screw is in service status basis. It provides a new diagnostic method for light rail anchoring screw fault detection.