AI-based Machine Performance Analysis

Analyzing Machine Performance with Artificial Intelligence (AI)

Of course, you can judge whether a machine is running well or not based on gut feeling – but is that still appropriate today? Wouldn't it be better to analyze the performance of a machine with state-of-the-art and efficient methods?

The mApp AI-based Machine Performance Analysis helps you identify the conditions that cause your machines to perform at their best or at unusually low levels. To this end, the mApp analyzes large amounts of historical production data using AI-based algorithms and presents the findings in a clear format. Use the mApp to analyze any combinations of influencing factors (machine, tool, material, etc.), evaluate the chronological development, and identify correlations. Drill-down functions help you analyze your machines and calculate the performance for specific conditions or specified time periods. This gives you a better understanding of the true performance of your resources.

Your Benefits

The AI-based analysis of machine data provides you with new insights into the productivity of your machines allowing you to improve their efficiency.

Technical information

The mApp AI-based Machine Performance Analysis is part of the HYDRA X categories Resource Management and AI Suite.

The mApp uses data of the Virtual Production Reality (ViPR) of MPDV's Manufacturing Integration Platform (MIP).

AI-based Machine Performance Analysis in the MIP ecosystem

Analyzing the machine performance is only one step in the assessment of productivity. MPDV provides the following additional mApps:

• AI-based Machine Status Analysis : Analyzing unproductive times with AI.
• Machine Status Analysis: Extensive evaluations of historical machine data
• Machine Performance KPIs: Calculating KPIs, like the OEE.
• AI-based Capacity Utilization Analysis: Capacity utilization analysis with AI

 

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