Pump-Based Anomaly Detection
Sensors can be fitted to industrial pumps to monitor a number of data sources, like RPMs, device and ambient temperature, electrical current, humidity, and vibration. This data can then be aggregated and incorporated into advanced algorithms that detect performance anomalies, predict machine failure, and enable preventative maintenance to reduce costly downtime.
Creating a connected pump that accurately detects anomalies or predicts failure can be a challenge for a number of reasons:
- To develop accurate algorithms, it’s necessary to analyze data over a significant amount of time from a large number of pumps. Analysis on that data is rarely done in a vacuum—it often needs to be combined with other data sources, integrated with other services, etc.
- Once reliable analytics algorithms are developed, organizations must then figure out how to actually implement them in a connected solution.
- Organizations need to be able to make adjustments to their solution in real time as their understanding matures about the type of data they need, the ideal report rate, etc.
Exosite’s ExoSense® condition monitoring application solves these challenges with out-of-the-box features that support anomaly detection and preventative maintenance. ExoSense acts as a central repository where data from a fleet of pumps can be aggregated, visualized, and easily shared with other platforms, business systems, and cloud-based services to enable data analysis and algorithm development. Insights—self-service tools to integrate algorithms within ExoSense—allow manufacturers to operationalize their institutional knowledge and the results of their data analysis to enable analytics, decision-making, and action capabilities within the application. Finally, over the air (OTA) update capabilities mean connected devices can be updated from the cloud at any time to make adjustments to firmware, reporting rates, and other controllable aspects of connected hardware.
ExoSense provides the following features that are purpose-built for pump-based anomaly detection use cases:
- Cloud-to-cloud federations
- Insights algorithm tools
- OTA updates
Visit our documentation site to learn more about ExoSense Insights.
Organizations leveraging ExoSense for pump-based anomaly detection use cases have been able to:
- Reduce operational costs
- Increase product quality, reliability, and warranty programs
- Increase pump efficiency