Analysis of frequency signals in the energy production sector
Description
ADEX has developed & patented a disruptive control system technology for power plant instrumentation & control optimization using Self-Tuning AI.
ADEX needed help to identify anomalies in the frequency signals of the energy consumed by the industrial sector to find patterns of failure:
- Find the bad behavior of the energy signals.
- Identify the patterns of failure.
- Document the results in an easy way.
Value provided by Taniwa
Taniwa developed:
- A system to process the raw data.
- A visual representation of the time series and the anomalies and their severity.
- A system to document the results in an easy way.
We had to load, analyze and understand the data. Then apply AI and filters to visualize the problem and identify patterns.
Technologies
- Prefect for ETLs
- Python and Jupyter Notebooks for data processing
- AI for classification.