Aspen Mtell®
いつ設備故障が発生するか、故障がどのように発生するか、どのように対処すればよいかについて早期に正確な警告を受け取る
中断しない世界を作る
早期検知
エンタープライズクラスの拡張性
高い精度と少ない偽警告
Integrate Seamlessly
Maestroは、プロセスエンジニアがデータサイエンスを活用できるようにするための画期的なテクノロジーです。Maestroは、データ分析の際に生じる次の3つの大きな課題に対応します。
- データの選択とクレンジング
- 入力変数の特定
- ドメインの専門知識をエージェントに組み込んでコンテキストを作成
Case Study
When developing its highly successful digital transformation program, a leading European energy company turned to Aspen Mtell® for predictive maintenance. After deploying Aspen Mtell on more than 50...
White Paper
Prescriptive maintenance technology is transforming how companies increase asset availability. With more advance warning of equipment failures comes more opportunity to mitigate the negative impact of...
Video
Data analysis can get bogged down in identifying, selecting, and preparing data. These tasks consume 50% or more of the time spent doing analysis. Now, with Maestro for Aspen Mtell®, you can automate...
Video
Aspen Mtell is a prescriptive maintenance solution that uses Agents to recognize asset failures earlier and with greater accuracy. Learn what an Agent is, what they do, how they are created, and how...
White Paper
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...
Case Study
YPF, Argentina’s largest oil and gas company, partnered with AspenTech to digitally transform their operations, aiming to quadruple their value by becoming a crude oil and LNG exporter while enhancing...
Case Study
A YPF, a maior empresa de petróleo e gás da Argentina, fez parceria com a AspenTech para transformar digitalmente suas operações, com o objetivo de quadruplicar seu valor ao se tornar uma exportadora...