Design Predictive Algorithms
Creating a reliable predictive algorithm is more than just AI: access, clean, and explore your data, then use your engineering expertise to extract the best features for training predictive algorithms. Get started quickly with application-specific functions and reference examples.
- Access streaming and archived data using built-in interfaces to cloud storage, databases, data historians, and industrial protocols
- Clean and explore data using interactive statistical and signal processing techniques
- Extract and rank time-domain, frequency-domain, and application-specific features with the Diagnostic Feature Designer
- Identify faults and predict time-to-failure using low-code AI, statistical, and model-based methods