Availability through Sentian AD&PM

In few areas is it more important to be leading edge. Our customers have important processes that need to be available 24/7 e.g. powering a city with heating and electricity.

Sentian’s solution is a deep learning and multi AI advanced solution for predictions and anomaly detection.

Using the latest in AI we can find more anomalies and make better predictions. The solution is also fast to implement, learns quickly and will offer fast ROI.

The Sentian Predictive Maintenance and Anomaly Detection solution covers both unsupervised and supervised conditions. It combines proven AI approaches with the latest in deep learning.

• Increase availability of machines

• Discover problems early

• Reduce cost of maintenance

• Optimize maintenance

• Plant wide scaling

• Root Cause Analysis

• Cascading problems detection

• Learning anomaly detection

Predictive maintenance for complex use cases example:

Predictive maintenance usually cannot detect cascading problem patterns.

Sentian created a solution that understands the machine/plant structure and combines that with advanced AI that can find complex patterns over time.

Anomaly detection for robust machines example:

Modern anomaly detection in large scale industrial implementations can generate lots of false positives.

In order to deal with the false positives Sentian created a learning anomaly detection system that works with local domain experts and integrates with control systems.

Features

• Advanced pattern recognition

• Learning anomaly detection

• Cloud based and on-prem

• Supervised and unsupervised learning

• Topology optimization

Anomaly detection, Predictive or Prescriptive maintenance

There has been a move from talking about Predictive and even Prescriptive Maintenance to Anomaly Detection as industrial companies realize that their data may not be good enough for predictions usually through lack of labeled data1 or that the machines are simply too robust for predictions i.e. do not break enough for patterns to emerge.

At sentian we see improved maintenance as a continuum and have build a solution that spans both unsupervised anomaly detection to predictive maintenance and all the way to optimized maintenance, also called prescriptive maintenance. This makes it possible to evolve the solution from anomaly detection to a predictive solution over time as the data matures.


1Labeled data is data that can serve as an example for the AI to learn from e.g. data that is linked to maintenance events.

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