We realized that your billing location is USA.
Please note that your billing address should be in the same country as your buying location. Please select one of the options:
New Terms of Use
The Subscription Term will automatically renew for successive Subscription Terms unless either party notifies the other at least 60 days prior to the end of the then-current Subscription Term that it has elected not to renew. Any renewed Subscription Term will be the same length as the preceding term or 12 months, whichever is greater. The fees for any renewed Subscription Term will be the same as those in effect at the end of the preceding Subscription Term, unless Siemens notifies Customer about different future fees at least 90 days prior to the end of the then-current Subscription Term.
The UCA (or any successor terms) available at Universal Customer Agreement (UCA) in the version that is current 60 days prior to the end of the then-current Subscription Term will apply for the following Subscription Term. However, if your subscription is governed by a master agreement that you have executed with Siemens, then that master agreement will continue to apply for any following Subscription Term, and auto-renewal terms for the subscription specified in that master agreement will prevail.
In all cases, instead of any previous versions of Supplemental Terms, the applicable Supplemental Terms available at Supplemental Terms in the version that is current 60 days prior to the end of the then-current Subscription Term will apply for the following Subscription Term.
Additional terms and conditions agreed upon in the initial order form (including product-specific terms), as well as agreed payment terms, will remain in effect for any following Subscription Term.
Siemens Predictive Analytics
Provided by SIEMENS
Siemens Predictive Analytics (SiePA) provides decision support for the maintenance of mission-critical process equipment in process industries.
With the constant pressure to increase plant efficiency and uptime in a highly competitive environment, condition-based maintenance – as much as needed, but as little as possible - becomes more and more important for a plant’s economic success.
Siemens Predictive Analytics (SiePA) is a practical and robust tool that integrates human experience/ know-how and machine learning capability to extract relevant information on equipment and process status. The information is summarized in an intuitive graphical user interface for easy use by plant operators, process engineers and maintenance staff.
Additionally, the application offers data analytics capabilities, including pre-processing of data sets, data training and updating of the unit model. Through the embedded diagnostics module, SiePA stores all the relevant diagnostics information entered by the users and offers a complex knowledge library, which enables a better root-cause analysis.
The early detection of changes in equipment and process behavior helps improving the performance of the production, availability of the plant and the quality of the final product, which resumes in an increased Overall Equipment Effectiveness (OEE) KPI.
Total: €7.600,00
Added to cart
Key Features
- Engineering: SiePA supports the modeling process by providing templates for 65 different asset types
- New Insights: By analyzing process and vibration data through machine learning algorithms and combining the information of both results, SiePA gives you a unique understanding of your equipment health status
- Root cause for anomalies: SiePA not only warns you when an anomaly is detected but also gives you suggestions what might be the reason for the anomaly by providing you with comprehensive diagnostic reports with the highest similarities to your problem
- Analyzes process and vibration data and combines these insights to provide a unique understanding of the health of your equipment
- Detects process and asset anomalies using AI models and provides real-time operator assistance
- Builds data-driven models using machine learning and domain experience
- Provides efficient guidance in problem solving by providing maintenance reports of similar uses cases using natural language processing technology
- Facilitates proactive data-driven decision-making
- Is easy to deploy on the customer’s private environment and integrates multiple data sets from different sources
Take a look
(1).png)
(1).png)
(1).png)
(1).png)
(1).png)
Additional Information
Thank you for your interest in our solutions for your business.
Siemens AG
Siemensallee 75, 76187 Karlsruhe
siepa.support.industry@siemens.com
Learn more about our solutions for the process industries: https://www.siemens.com/global/en/products/automation/industry-software/digital-applications-and-services-for-process-industries.html