系统的机器状态监测——以荷兰Parenco造纸厂为例

Matt o'Sullivan
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引用次数: 4

摘要

Parenco为几家知名的欧洲日报生产高质量的新闻纸。为了保持他们引以为傲的声誉,他们必须保证生产的质量和数量。他们使用br el和k ær系统机器状态监测概念来监测其造纸机和发电厂6000个测量点的振动频谱。该系统具有故障早期检测、故障诊断功能强大、趋势分析等特点,可预测故障提前时间。本文介绍了该br el和k ær系统在帕兰科造纸厂的使用情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic machine-condition monitoring — a case study from Parenco paper mill in Holland

Parenco produces high-quality newsprint for several well-known European daily newspapers. To maintain their proud reputation, they must maintain both quality and quantity of production.

They use the Brüel and Kjær Systematic Machine Condition Monitoring concept to monitor the vibration spectrum at 6000 measurement points on their paper machines and power plant. The system features early fault detection, powerful fault diagnosis, and trend analysis to predict the lead time to breakdown.

This paper describes the use of this Brüel and Kjær system at the Parenco paper mill.

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