延长机器寿命的先进预测和智能分析方法

Winyou Rinnanont, A. Bamrungwong, Graisit Teerawongsakul
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引用次数: 2

摘要

主动先进的维护技术用于评估井口增压压缩机的机械状况和性能,旨在延长主要维护服务的间隔时间,同时保持高水平的机器可靠性。本文将解释如何将先进的数据采集,数据分析和OEM建议的状态基础技术相结合,以更有效地预测往复式机械的状态。事实证明,这种集成方法可以预测条件并支持决策,在不影响安全性和机器可靠性的情况下,将机器服务间隔从48,000小时延长到72,000小时。这是一种有效的方法,可以减少26%的维修费用,相当于每台62万美元。这些技术也适用于柴油/燃气发动机发电机。综上所述,采用先进的预测性维护和智能分析方法可以为延长机器使用寿命、提高可靠性和节省维护成本提供有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced Predictive and Intelligent Analysis Methods for Machine Life Extension
The proactive advanced maintenance techniques are used to evaluate mechanical conditions and performance of wellhead booster compressor package aiming to extend the intervals between major maintenance services while maintaining a high level of machine reliability. This paper will explain how advanced data acquisition, data analysis and OEM advised condition base techniques, have been integrated to predict conditions of reciprocating machinery more effectively. It has been proven that this integrated approach can predict conditions and support decision-making to extend machine service interval from 48,000 to 72,000 hours without compromising safety and machine reliability. It is an effective way that can reduce 26% of maintenance expenses equivalent to USD 620,000 per unit. The techniques are also applicable for diesel/gas engine generators. In conclusion, the use of advanced predictive maintenance with intelligent analysis method can provide valuable information to extend machine service life, improve reliability and save maintenance costs.
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