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一种大修周期性能降解模拟方法,用于海洋燃气轮机
Junqi Luan1, Yunpeng Cao1, Ran Ao1
1College of Power and Energy Engineering, Harbin Engineering University, No.145 Nantong Street, PO.Box:150001, Harbin, Heilongjiang, China.
ISA transactions
|November 20, 2024
概括
本研究提出了一种海洋燃气轮机降解模型,用于生成验证故障诊断算法的必要数据. 该方法模拟降解数据,有助于趋势预测和改进设备维护策略.
科学领域:
- 机械工程 机械工程
- 海洋工程 海洋工程
- 可靠性工程可靠性工程
背景情况:
- 数据不足阻碍了对海上燃气轮机的故障诊断和趋势预测算法的验证.
- 准确的降解建模对于预测设备状况和优化大修周期至关重要.
研究的目的:
- 为海洋燃气轮机在其大修周期内提出一种新的降解建模方法.
- 为验证诊断和预后算法生成足够的数据集.
- 为在类似的机械系统中建模降解提供参考.
主要方法:
- 为海上三轴燃气轮机建立了一个非线性气路模型.
- 开发了组件降解模型和确定了降解路径.
- 利用优化算法来解决洗周期分布和降解因子.
- 在各种边界条件下模拟的降解数据.
主要成果:
- 通过使用实际的海洋燃气轮机降解数据,成功验证了模型的可行性.
- 在整个大修周期中获得了燃气轮机运行数据的更改规则.
- 生成的模拟降解数据对于算法验证至关重要.
结论:
- 拟议的降解建模方法有效地解决了用于海洋燃气轮机故障诊断和趋势预测的数据稀缺问题.
- 该模型为模拟其他机械设备降解提供了有价值的参考.
- 这种方法提高了海上燃气轮机的可靠性和维护计划.
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