在基于统计控制图表的基础上,应用基于条件的维护电力发电机.
Mohammad A Shbool1, Badi Alanazi2
1Industrial Engineering Department, School of Engineering, The University of Jordan, Amman 11942, Jordan.
MethodsX
|September 11, 2023
概括
统计控制图表通过监测性能参数来增强电力发电机的基于条件的维护. 温度监测在检测故障方面是最有效的,提高了设备的可靠性.
科学领域:
- 工程 工程师 工程师 工程师
- 数据科学数据科学数据科学
背景情况:
- 基于条件的维护 (CBM) 通过将活动与性能状态保持一致来优化设备的维护.
- 持续监测对于有效的CBM战略至关重要.
研究的目的:
- 为电力发电机在CBM中应用统计控制图的框架提出建议.
- 评估不同监控参数和控制图表在故障检测中的有效性.
主要方法:
- 开发了一个由四个组成部分组成的框架,以建立电气设备的性能值.
- 利用长期短期记忆 (LSTM) 和有用剩余寿命 (URL) 模型进行维护决策.
- 使用统计控制图表和实验数据分析过程参数 (振动,噪音,温度).
主要成果:
- X-bar控制图表显示了一致的故障检测能力.
- 当数据偏离正常时,R图表显示了限制.
- 温度监测在检测故障方面优于振动和噪音,温度控制图表成功识别了问题.
结论:
- 统计控制图表在电力发电厂的CBM决策中发挥着至关重要的作用.
- 拟议的框架和分析支持集成先进的模型和统计工具用于预测性维护.
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