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Optimization software MLHub
analysisinterfacemonitoring

Optimization software - MLHub - General Electric - analysis / interface / monitoring
Optimization software - MLHub - General Electric - analysis / interface / monitoring
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Characteristics

Function
optimization, analysis, interface, monitoring, visualization, modeling, creation, embedded, interoperability, machine learning, data collection
Applications
process, industrial, machine
Deployment mode
web-based

Description

Optimize assets and processes – from plant-level operations to the enterprise – with self-service process analytics software. TrendMiner is an intuitive web-based industrial process analytics application to perform visualization of large amounts of sensor-generated time-series and contextualized data. The solution enables process optimization through its enhanced functionality for process monitoring, troubleshooting, and embedded problem-solving capabilities. Machine Learning (ML) Flexible ML model creation using built-in toolkits or use third-party modeling Clean data collection to create finite data frames for deeper analysis Preloaded open-source algorithms or import from other tools No-code interface leveraging machine learning results designed for any operations user to gain deeper insights on process behavior Cross-platform interoperability with TrendHub, ContextHub, and DashHub

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