Analytics Overview

Falkonry TSI supports analyzing your machine data using a variety of tools and techniques. At the very beginning, the system computes baseline statistics (including mean, median, standard deviation, minimum, and maximum) for every numerical signals to establish a basis for further analysis. The combination of raw and basic statistics allows you to quickly identify trends, patterns, and anomalies in your data. This could be visualized through charts under Signals manager module as well as from Reports.

You can use the following features to gain insights from your data:

1. Using known thresholds on raw signals, get denoised alerts using Rules
2. Using the knowledge of physics, create synthetic signals using Calculations. You may create rules to receive alerts when the physics is violated.
3. When you have unknown unknowns, use Anomalies to detect unusual patterns in your data. You can create rules to receive alerts when anomalies over certain magnitude are detected.
4. If you are looking for specific equipment or process conditions, e.g., early warning of a bearing failure, you can use Patterns to train a model to detect those conditions. You may subsequently create rules to receive alerts when the model detects those conditions.
5. Use Reports to perform detailed root cause analysis and create custom dashboards to monitor your data and share insights with your team.