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考虑噪声影响的柴油发电机组并联运行自动化监控系统

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设计考虑噪声影响的柴油发电机组并联运行自动化监控系统,实时监控柴油发电机组并联运行状态,确保其安全稳定运行.采集柴油发电机组并联运行状态数据,广义S变换的时频滤波算法合理去除所采状态数据噪声后,改进随机森林算法的故障感知与预测方法监测柴油发电机组并联运行状态,并将监测结果以及监控画面合理呈现于远程监控终端,供用户查看.实验结果表明,该系统可有效监控柴油发电机组并联运行状态,数据去噪效果较好,将其应用于实际工作,可获得较为理想的柴油发电机组并联运行自动化监控效果.
Automatic Monitoring System for Parallel Operation of Diesel Generator Sets Considering the Impact of Noise
Design an automated monitoring system for parallel operation of diesel generator sets that considers the im-pact of noise,to monitor the status of parallel operation of diesel generator sets in real-time and ensure their safe and stable operation.Collect parallel operation status data of diesel generator sets.After the time-frequency filtering algorithm of the generalized S-transform reasonably removes the noise of the collected status data,improve the fault perception and prediction method of the random forest algorithm to monitor the parallel operation status of diesel generator sets,and present the monitoring results and monitoring screens to the remote monitoring terminal for users to view.The experimental results show that the system can effectively monitor the parallel operation status of diesel generator sets,and the data denoising effect is good.Applying it to practical work can achieve ideal automation mon-itoring effect for parallel operation of diesel generator sets.

noise impactdiesel generator setparallel operationdata collectiongeneralized S-transformimproved ran-dom forest

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陕西柴油机重工有限公司西安电站工程分公司,西安 710000

噪声影响 柴油发电机组 并联运行 数据采集 广义S变换 改进随机森林

2024

自动化与仪表
天津市工业自动化仪表研究所 天津市自动化学会

自动化与仪表

CSTPCD
影响因子:0.548
ISSN:1001-9944
年,卷(期):2024.39(3)
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