基于巡检机器人的电缆卷筒减速器故障诊断技术

针对传统电缆卷筒减速器故障诊断技术存在不同状态下的电缆卷筒减速器故障诊断误判率高的问题,提出基于巡检机器人的电缆卷筒减速器故障诊断技术。基于巡检机器人构建一个数据采集系统,利用该系统采集电缆卷筒减速器发出的振动信号数据;采用 KPCA 方法提取采集数据的特征,获得电缆卷筒减速器特征向量;将特征向量用作输入量输入到故障诊断模型中进行训练,训练期间对特征向量数据进行简化,以此提升故障诊断效率,依据输出的故障类型实现电缆卷筒减速器的故障诊断。实验结果表明,通过对该方法进行不同状态下的故障诊断误判率测试,验证了该方法的准确率高、实用性强。

Fault Diagnosis Technology of Cable Reel Reducer Based on Inspection Robot

Aiming at the problem of high misjudgment rate in the fault diagnosis of the cable reel reducer in different states in the traditional cable reel reducer fault diagnosis technology , a fault diagnosis technology method for the cable reel reducer based on the inspection robot is proposed.A data acquisition system is constructed based on the inspection robot , which is used to collect the vibration signal data from the cable reel reducer.KPCA method is used to extract the features of the collected data , and the feature vector of the cable reel reducer is obtained.The feature vector is used as input to the fault diagnosis model for training.During the training , the feature vector data is simplified to improve the fault diagnosis efficiency , and the fault diagnosis of cable reel reducer is realized according to the output fault type.The experi- mental results show that the method has high accuracy and strong practicability by testing the false positive rate of fault diagnosis in different states.