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低接触式机器学习助力实现资产绩效管理
单独的传统预防型维护无法解决非预期停机问题。凭借低接触式机器学习所驱动的资产绩效管理,现在可能会从数十种程序、资产和维护数据中抽取相关数值,从而优化资产绩效。在本白皮书中,将学习这种插断性技术如何部署精确性故障模式识别,其具有较高的准确性,可以提前预测设备停机月数,并就约定的维护提供相关建议。本白皮书亦列述了驱动先进可靠性管理的五个最佳实践,以期增产提盈。
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Low-Touch Machine Learning is Fulfilling the Promise of Asset Performance Management
Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. This white paper describes five best practices for driving state-of-the-art reliability management to predict breakdowns months in advance—increasing production and profitability.
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Low-Touch Machine Learning is Fulfilling the Promise of Asset Performance Management
Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. In this white paper, learn how this disruptive technology deploys precise failure pattern recognition with very high accuracy to predict equipment breakdowns months in advance and advise on prescriptive maintenance. The paper also outlines five best practices for driving state-of-the-art reliability management to increase production and profitability.
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インダストリアルIoTインサイト: Asset Healthスコア
この記事では AspenTech AIoT platform のIoTアナリティックスが、センサや稼働中デバイス の時系列データを使用し、設備資産のAsset Health スコアをどのように算出しているかを解説します。Asset Health スコアによって、サービスチームはリアルタイムで設備資産の健全性を把握で き、サービス業務やメンテナンスにかかる費用の削減につなげることができます。
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Right Details at the Right Time
When delivering an estimate on time and on budget, learn why it is important to focus on the components that matter most.
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Modular Design for Lower CAPEX
Achieve savings in both engineering hours and CAPEX with modular design through the use of stanadardized designs in re-useable templates.
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