基于光谱的故障检测方法在海洋柴油发动机运行过程中
Joško Radić1, Matko Šarić1, Ante Rubić1
1Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split, University of Split, 21000 Split, Croatia.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
这项研究引入了一种新的方法,用于使用声波和振动信号检测船舶柴油发动机故障. 这种方法实现了高精度,简化了自主船舶开发的实施.
科学领域:
- 海洋工程 海洋工程是指海洋工程.
- 信号处理 信号处理
- 状态监控 状态监控 状态监控
背景情况:
- 自动驾驶船只正在引起人们的兴趣,而柴油发动机已经很常见.
- 检测发动机故障对于船舶的可靠性和安全性至关重要.
- 当前的方法可能缺乏效率或需要复杂的实施.
研究的目的:
- 开发和验证一种检测船舶柴油发动机故障的方法.
- 用声学和振动信号来检测故障.
- 为了简化引擎故障检测系统的实施.
主要方法:
- 在频域中使用离散里埃转换 (DFT) 进行信号分析.
- 同时分析麦克风的声学数据和加速度计的振动数据.
- 在模拟单故障的六船舶柴油发动机上进行测试.
主要成果:
- 在受控条件下检测发动机故障的准确度达到约98.3%.
- 在所有传感器中显示出高平均精度 (>97%) 和回忆率 (>96%).
- 该方法在五种不同的旋转速度中显示出一致的性能.
结论:
- 拟议的信号分析方法有效地检测到船舶柴油发动机的故障.
- 音响和振动数据的相同处理简化了系统的实施.
- 通过集成额外的传感器来提高检测准确性的潜力.
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