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作 者:吴淑明 陈雪峰[1] 杨志勃[1] WU Shuming;CHEN Xuefeng;YANG Zhibo(Xi’an Jiaotong University,Xi’an 710049,China)
机构地区:[1]西安交通大学,西安710049
出 处:《航空制造技术》2022年第20期24-33,共10页Aeronautical Manufacturing Technology
基 金:国家重点研发计划(2020YFB2010800);国家自然科学基金(52222504,92060302);陕西省杰青项目(2021JC–04)。
摘 要:叶端定时技术是近年来兴起的可用于整级叶盘健康监测的非接触式测量技术,为转子叶片振动的在线监测与故障诊断提供了可能。针对转子叶片常见的碰磨故障,分别建立了单叶片与整级叶盘动力学模型,分析了上述两种模型在碰磨故障下的叶尖动态响应;提出了受碰磨影响较为明显的振动指标;阐述了碰磨状态下传感器之间及叶片之间的叶端定时信号特征,通过增强稀疏分解算法对叶端定时欠采样信号进行了特征提取;提出了一套用于诊断碰磨故障的流程。通过自主搭建的碰磨试验台验证了提出方法的有效性。Blade tip timing technology is a non-contact measurement technology that is popular in recent years and can be used for the health monitoring of the entire stage,which provides the possibility for online monitoring and fault diagnosis of rotor blade vibration.Aiming at the common rubbing faults of rotor blades,the single-blade and whole-stage dynamic models were established respectively,and the dynamic responses of the blade tips under the rubbing faults of the above two models were analyzed.The characteristics of the blade tip timing signals of sensors and blades in the state of rubbing were expounded,and the feature extraction of the undersampling signal of the blade tip timing was carried out by the enhanced sparse decomposition algorithm.A set of procedures for diagnosing rubbing faults was proposed.The effectiveness of the proposed method is verified by a self-built rubbing test bench.
分 类 号:V263.6[航空宇航科学与技术—航空宇航制造工程]
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