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Detecting and Understanding Anomalies
Anomalies are deviations from expected patterns in sound data. These deviations can be caused by sudden faults, gradual wear, or environmental changes. Detecting anomalies is crucial in applications such as predictive maintenance, quality control, and safety monitoring.

Expert Analytics
1 min read


Time-Series Analysis and Computer Vision
Turning Audio Features into Time-Series Data Many of the audio features computed by Resonyx are extracted using a sliding fixed-size...

Expert Analytics
1 min read


Spectral Analysis and Key Features of Sound Signals
Every sound wave contains a combination of different frequencies. Mathematically, any periodic signal can be decomposed into a sum of consta

Expert Analytics
2 min read


Understanding Sound Waves and Analysis Methods
Sound as Pressure Waves Sounds are pressure waves that propagate through a medium. They are generated by vibrating sources and encode...

Expert Analytics
2 min read


Success Story: Tap Changers in Transformers
Background Big electrical transformers usually have automatic on-load tap changers. These are mechanisms that adjust the relation between...

Expert Analytics
2 min read


Success Story: Detecting a default valve in a hydropower station
Background Hydropower generators are big machines that can be placed in remote locations. These machines operate for several years....

Expert Analytics
2 min read
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