用于机器人柔性关节齿轮箱故障诊断的信号增强方法

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Measurement Science and Technology Pub Date : 2024-07-02 DOI:10.1088/1361-6501/ad5dd6
Jianlong Li, Xiao-qin Liu, Xing Wu, Dongxiao Wang, Kai Xu, sheng lin
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引用次数: 0

摘要

电机电流信号分析 (MCSA) 为故障诊断提供了一种非侵入式方法。然而,由于从故障源到电机的传输路径中存在柔性结构,电流中反应的故障影响会减小。因此,本文提出了一种方法,通过电机扭矩和链路振动之间的传递模型来增强单一机械故障电流信号的频域。首先,基于三惯性简化模型建立了联合系统动力学模型。根据系统动力学定义了电机扭矩和链路振动的传递模型。然后根据传递模型和电磁扭矩估算链路振动。链路振动信号被视为扭矩信号的增强信号。最后,进行链路振动特征分析,而不是 MCSA。实验结果表明,该方法能有效增强单个机械故障的特征,提高故障诊断性能。
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Signal Enhancement Method for Gearboxes Fault Diagnosis in Robotic Flexible Joint
Motor Current Signal Analysis (MCSA) provides a non-intrusive approach to fault diagnosis. However, the fault impact reacting in the current is reduced due to the presence of flexible structures in the transmission path from the fault source to the motor. Therefore, this paper proposes a method to enhance the frequency domain of the current signal of a single mechanical fault through a transfer model between motor torque and link vibration. First, the joint system dynamics model was developed based on a three-inertia simplified model. The transfer model of motor torque and link vibration was defined based on the system dynamics. The link vibration is then estimated based on the transfer model and electromagnetic torque. Link vibration signal is considered as an enhancement of the torque signal. Finally, the link vibration signature analysis is performed instead of MCSA. The experimental results show that the method is effective in enhancing the features of individual mechanical faults and improving the fault diagnosis performance.
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来源期刊
Measurement Science and Technology
Measurement Science and Technology 工程技术-工程:综合
CiteScore
4.30
自引率
16.70%
发文量
656
审稿时长
4.9 months
期刊介绍: Measurement Science and Technology publishes articles on new measurement techniques and associated instrumentation. Papers that describe experiments must represent an advance in measurement science or measurement technique rather than the application of established experimental technique. Bearing in mind the multidisciplinary nature of the journal, authors must provide an introduction to their work that makes clear the novelty, significance, broader relevance of their work in a measurement context and relevance to the readership of Measurement Science and Technology. All submitted articles should contain consideration of the uncertainty, precision and/or accuracy of the measurements presented. Subject coverage includes the theory, practice and application of measurement in physics, chemistry, engineering and the environmental and life sciences from inception to commercial exploitation. Publications in the journal should emphasize the novelty of reported methods, characterize them and demonstrate their performance using examples or applications.
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