SiePA

Predictive analytics

Siemens Software Partner — Sell, Service

Siemens Predictive Analytics (SiePA) combines human expertise and machine learning to provide accurate insights into equipment and process condition.

The software monitors equipment operating data and also analyses its context, identifying performance changes at an early stage. This enables better-informed operational and maintenance decisions, preventing failures and optimising efficiency.

Predictive equipment and process analytics with SiePA

Benefits

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Enables proactive decisions, improving predictability and reliability

Detects anomalies with AI and supports operators in real time

Creates machine learning models combining AI and industry expertise

Generates intelligent maintenance case reports using natural language processing

Combines process and vibration data to assess equipment and efficiency

Enables straightforward deployment and secure integration with various data sources

Siemens predictive analytics

Predictive analytics cycle: machine learning, risk prediction, intelligent diagnostics and model updates based on industrial data

What does SiePA do?

Predictive maintenance

Early warning of potential failures

Prevention of costly shutdowns

Asset library