White Paper
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.
White Paper
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.
White Paper
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.
White Paper
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。
White Paper
資料:手軽な機械学習が資産パフォーマンス管理(APM)の可能性を開く(日本語)
従来の対処的メンテナンスだけでは、不測の事態に対応できません。手軽な機械学習による資産パフォーマンス管理(APM) により、今や製造工場のスタッフが、何十年にもわたって蓄積してきた設計や運用データから容易に価値を引き出し、資産(主に装置などのハードウェア)のパフォーマンスをより適切に管理して最適化することが可能になりました。本書では、常識を覆すような画期的なテクノロジーがどのように精密な故障パターン認識を使い、高精度に装置の故障を数ヶ月も前に予測し、処方的なメンテナンスをガイダンスするかを説明しています。また、5つのベストプラクティス(運用方法)をご紹介し、最先端の信頼性管理による、さらなる生産効率および利益率の改善手法について述べています。
White Paper
特殊化学向け製造エクセレンス:6つの手法
特殊化学品メーカーの主なバリュードライバーにしっかりと整合化された実証済みの業界ベストプラクティスを導入した、製造パフォーマンスを変革するためのロードマップを示しています。また、製品品質を改善し、顧客への対応力を強化し、コスト効率を高める革新的な製造プラクティスを実現するために、どのような技術が活用できるのかについて説明しています。
White Paper
Maximice la efectividad de sus equipos mineros y minimice las pérdidas de beneficios
Las compañías mineras invierten fuertemente en activos para todas las etapas del proceso minero: extracción, procesamiento, refinería y distribución del mineral. Al monitorear la condición y el comportamiento de los activos y desarrollar perfiles de operaciones normales, anomalías y fallas, las herramientas de mantenimiento predictivo pueden notificar al personal sobre los problemas del equipo antes de que ocurra falla. Este documento describe cómo el mantenimiento predictivo proporciona a las organizaciones mineras la inteligencia necesaria para:
White Paper
Maximize Mining Equipment Effectiveness, Minimize Margin Loss
Mining companies invest heavily in equipment for all stages of mining, mineral processing, refining and distribution. By monitoring asset condition and behavior and developing profiles of normal operations, anomalies and failures, predictive maintenance tools can notify staff of equipment problems prior to failure. This paper outlines how predictive maintenance provides mining organizations the intelligence needed to:
White Paper
Driving Growth with Prescriptive Maintenance in Food and Beverage Processing
Asset Performance Management (APM) technology, predictive and prescriptive analytics, and artificial intelligence (AI) can play an important role for the food and beverage processing industry. In fact, no other industry is better suited for an approach that provides more lead time for critical maintenance decisions.
White Paper
Ensure Consistent Operations and Mineral Recovery with Machine Learning
Enhance mine-to-mill-to-metal operations with cutting-edge technologies that drive production increases, cost savings and increased safety for employees, the community and the environment. Learn how machine learning in AspenTech’s asset performance management solutions helps ensure reliable operations, enhance process efficiencies and increase mineral recovery.
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