PumpSpectra:一个基于MCSA的平台,用于离心系统的故障检测
Hamza Adaika1, Zoheir Tir1, Mohamed Sahraoui2
1LEVRES Laboratory, University of El Oued, El Oued 39000, Algeria.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
PumpSpectra是一个电机电流信号分析 (MCSA) 平台,使用定子电流数据准确检测离心故障. 该系统加速了故障诊断,减少了分析时间和工业预测维护的成本.
科学领域:
- 工业工程 工业工程是指工业工程.
- 机械工程 机械工程 机械工程
- 数据分析数据分析.
背景情况:
- 在工业环境中检测离心故障是很困难的,因为恶劣的条件和有限的传感器访问.
- 快速,可解释的故障决定对于工业运作至关重要.
研究的目的:
- 开发和验证PumpSpectra,这是一个用于检测离心机械故障的工业动力电流信号分析 (MCSA) 平台.
- 在现实工业环境中评估PumpSpectra平台的准确性,效率和可解释性.
主要方法:
- 开发了PumpSpectra,这是一个MCSA平台,使用快速里埃转换 (FFT) 和短时间里埃转换 (STFT) 处理定位器当前的CSV文件.
- 实施透明的,基于规则的模型,用于识别机械故障,如错位,轴承缺陷和螺旋异常.
- 在海水淡化厂进行现场验证,分析了40个操作点.
主要成果:
- 在识别故障方面,PumpSpectra实现了91.2%的诊断准确度.
- 与手动MCSA后处理相比,分析时间减少了95%.
- 在0.1赫兹分辨率下,低假阳性率为3.8%,成功检测出错位.
结论:
- 目前只有可解释分析才能有效支持预测性维护程序.
- PumpSpectra加速了故障分类,提高了决策可追溯性,并降低了驱动工业资产的维护成本.
- 该平台展示了先进数据分析的可行性,以提高关键工业设备的可靠性.
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