Enter time series - output forecast or anomaly assessment - TSAF works that easily. You get reliable results without the need for further development or configuration.
With its specified interface, the TSAF module can be easily integrated into your existing workflows or dashboards, such as MS Power BI.
Save significant costs on algorithm development and software support. TSAF is tried and tested in practice.
The company Hexagon integrated TSAF into the Q-DAS qs-STAT software to predict critical measurement values & process capabilities in quality assurance.
Do you already monitor the states, events, operations and maintenance of your machines with software other than IconPro Apollo? No problem - simply add TSAF to your existing system to introduce predictive maintenance, predictive calibration or service functions in your system.
What is time series analysis?
Time series analysis is a statistical method for examining data where information about a variable has been collected over a period of time. These data points are collected in a chronological order, which allows for the identification of patterns, trends, outliers, and relationships in the data. Time series analysis includes various techniques such as smoothing, trend analysis, and seasonality studies to gain insight into how phenomena evolve over time.
How are time series analysis and time series prediction related?
Time series analysis develops models to understand data and identify underlying causes. Time series prediction uses these models to predict future data points. Together, they provide the necessary understanding and tools to predict future events or trends.
What are use-cases for time series analysis and time series prediction?
Time series analysis and time series prediction are crucial in production and quality assurance. They enable real-time monitoring of production processes, prediction of maintenance needs, and anomaly detection. In quality assurance, they can be used to monitor product quality and predict quality issues. This allows companies to proactively act to minimize downtime and improve product quality.
Can time series analysis and time series prediction be automated?
Yes, time series evaluation can be partially automated. Advanced data analysis tools and software platforms offer capabilities for automated pre-processing of time series data, identification of outliers, trends and seasonality, and modeling of forecasts. Automation can speed up the analysis process and increase efficiency by automating repetitive tasks or even allow the real-time integration of time series evaluation into applications or workflows.
Testimonial MTU Aero Engines AG
Working with IconPro in a pilot project proved to be simple, efficient and focused right from the beginning.
IconPro Apollo just met our demand for on-premise condition monitoring and analysis of our measurement machines.