基于实时状态监测与可靠性分析

S. Talabgaew
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引用次数: 1

摘要

众所周知,热是机器故障的重要原因之一,特别是在纤维塑料袋行业涂布机的轴或轴承等旋转部件中。机器运行时,温度不断升高并积累。为了防止机器因过热而发生故障,本研究开发了实时控制温度的CBM,并将可靠性理论应用于寿命分析。将传感器测得的平均温度计算为故障概率、故障率和MTTF,用于制定维修计划。虽然这个实验是一个试点项目,在一台涂布机上进行了实验,但结果表明,这种实时CBM可以显著降低该涂布机的备件成本、维修人员成本和停机时间损失高达50%。在未来,将有更多的热效应机器实现,以延长使用寿命,降低维护成本。
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Real Time Condition Based Monitoring and Reliability Analysis
As known, thermal is one of the important causes of machine failure, especially in the rotational parts like shaft or bearing in coating machine for fiber-plastic bag industry. While machine is running, temperature is getting higher and accumulates. In order to protect machine failure from overheat, this research developed the real time CBM to keep controlling temperature and applied reliability theory for lifetime analysis. The average temperature measured by sensor was calculated to be the probability of failure, failure rate and MTTF for making decision about maintenance plan. Although this experiment was a pilot project and experimented in one coating machine, the results showed that this real time CBM can significantly reduce the cost of spared parts, maintenance staff and downtime loss of this coating machine up to 50%. In the future, there will be more implementations for those kinds of machine having thermal effect to extend lifetime and reduce maintenance cost.
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