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基于GLRT检测器的海洋电流轮的失衡故障检测

Milu Zhang¹, Jutao Chen¹, Liu Yang¹

¹Department of Mechanical and Electrical, Shanghai Maritime University, No.1550 Haigang Avenue, Shanghai 201306, China.

Sensors (Basel, Switzerland)

|February 13, 2025

概括

本研究提出了一种新的故障检测策略,用于使用通用概率测试 (GLRT) 检测器的海洋电流轮机 (MCT). 该方法有效地识别了MCT中的失衡故障,即使是在复杂的水下环境干扰中.

科学领域:

可再生能源系统可再生能源系统
海洋工程海洋工程
错误诊断错误诊断错误诊断在

背景情况:

海洋电流轮机 (MCT) 对于利用潮能量至关重要,但容易受到海洋生物和环境干扰引起的失衡故障的影响.
MCT中的故障特征通常被水下噪音掩盖,例如波浪和流,使检测变得复杂.
不平衡故障,主要是由于刀片附件,是对操作可靠性的重大问题.

研究的目的:

开发和验证一个强大的MCT故障检测策略.
为了应对在杂和复杂的海洋环境中检测不平衡故障的挑战.
提高海洋电流轮机的运行维护和可靠性.

主要方法:

开发了MCT系统的模拟模型,以收集先前的知识.
使用矩阵笔方法 (MPM) 来计算故障度量选择的瞬间频率.
一个通用概率测试 (GLRT) 检测器被用来检测失衡故障.
建立了一个实验性的海洋电流轮平台,以模拟故障和环境条件.

主要成果:

提出的基于GLRT的策略成功检测了MCT系统中模拟的不平衡故障.
该策略在识别故障方面表现出有效性,即使沉浸在波浪和流等环境干扰中.
实验验证证了拟议方法在复杂的水下环境中的能力.

结论:

开发的故障检测策略为识别海洋电流轮机失衡故障提供了一种可靠的方法.
这种方法有效地克服了复杂的水下环境和噪音带来的挑战.
成功检测故障对于保持MCT系统的运行完整性和效率至关重要.

关键词:

在GLRT探测器上.在MPM中,MPM就是MPM.失衡故障失衡失衡故障失衡失衡失误失衡失衡失误失衡失衡失衡失误失衡失衡失衡失误失衡失衡失误失衡失衡失误失衡失衡失衡失误失衡失衡失误失衡失衡失衡失失误失衡失衡失误失衡失衡失误失衡失误失衡失衡失衡失衡失衡失误失衡失失衡失失失衡失失失失失失失失失失失失失失失水下工作环境水下工作环境

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