旋转机械设备状态预警与维修优化

发布时间：2019-03-27 18:06

【摘要】：旋转机械设备的维修策略对于维护机械设备运行状态,保障产品生产质量有着重要意义,并且直接影响企业经济效益.频繁维修虽可以保障设备状态,但随之会带来高昂的维修成本;检修周期过长虽然可以降低维修次数,减少维修成本,但是设备状态却难以保证.本文提出了一种基于峭度指标的故障预警方法以及基于模糊C均值方法的实时维修策略优化方法.通过监测峭度指标变化,可以成功捕捉机械设备的早期故障特征,再使用模糊C均值方法,评估设备状态,将其结果视为设备运行可靠性指标,根据企业效益最优化的维修建议准则,对设备的维修策略做出实时建议.对某钢厂的设备状态监测数据分析验证,结果表明,本文提出的基于实时维修策略优化方法的维修建议更加适用于现场设备的管理,节约了监测成本,使得企业效益更优.
[Abstract]:The maintenance strategy of rotating machinery equipment is of great significance for maintaining the running state of mechanical equipment and ensuring the quality of product production, and directly affects the economic benefit of enterprises. Although frequent maintenance can guarantee the state of the equipment, it will bring about high maintenance cost; too long maintenance cycle can reduce the maintenance times and maintenance cost, but the state of the equipment is difficult to guarantee. This paper presents a fault warning method based on kurtosis index and a real-time maintenance strategy optimization method based on fuzzy C-means method. By monitoring the change of kurtosis index, the early fault characteristics of mechanical equipment can be captured successfully, and then the fuzzy C-means method is used to evaluate the state of the equipment, and the result is regarded as the reliability index of equipment operation. Make real-time suggestions on the maintenance strategy of the equipment according to the maintenance advice criterion of enterprise benefit optimization. Based on the analysis and verification of equipment condition monitoring data in a steel plant, the results show that the maintenance suggestion based on real-time maintenance strategy optimization method proposed in this paper is more suitable for on-the-spot equipment management, thus saving the monitoring cost and making the enterprise benefit better.
【作者单位】：北京科技大学国家材料服役安全科学中心;重庆邮电大学先进制造工程学院;
【基金】：国家重点研发计划项目(2016YFF0203804) 国家自然科学基金资助项目(51005015) 中央高校基本科研业务费资助项目(FRFTP--15-010A3)
【分类号】：TH17

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