旋转机械设备状态预警与维修优化

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.

State pre-warning and optimization for rotating-machinery maintenance

Maintenance of rotating machinery has significant practical implications for preserving the service condition and quality of products.Moreover, it directly affects the economic efficiency of enterprises.Although frequent maintenance can preserve the condition and quality of products, it can increase the cost of enterprises.Conversely, long intervals in maintenance can prove to be economical but would not ensure the desired condition and quality.This study presented a real-time maintenance strategy which was based on condition assessment using the fuzzy C-means method and the kurtosis index.Changes in the kurtosis index can be monitored to successfully capture the features of early faults.The performance condition was assessed using the fuzzy C-means method, and the result was considered as the reliability of the equipment.Enterprise-efficiency optimization was regarded as a proposed criterion to make a real-time maintenance recommendation.The result of analyzing data from a steel enterprise shows that this real-time maintenance strategy is more suitable for the management of on-site equipments.Moreover, it reduces the monitoring cost, thereby obtaining increased enterprise benefit.