Duty cycle sweep for cpsd identification of resonance frequencies to monitor for resonant amplification of vibration

A computer-implemented method, comprising:

• recording vibrations of a reference asset while the reference asset is operated based on a test pattern of duty cycle that sweeps over a range of workload for the reference asset;
• determining cross power spectral densities between the recorded vibrations and the test pattern at intervals to identify resonance frequencies of the reference asset;
• monitoring vibrations of a target asset at the resonance frequencies with a machine learning model trained to generate estimated values at the resonance frequencies that are consistent with the reference asset;
• detecting resonant vibration amplification based on a dissimilarity between vibration values for the target asset at the resonance frequencies and the estimated values;
• and
• generating an electronic alert that the target asset is undergoing the resonant vibration amplification.

A computing system, comprising:

• at least one processor connected to at least one memory;
• one or more sensors configured to monitor vibrations of a target asset;
• one or more non-transitory computer readable media including instructions stored thereon that when executed by at least the processor cause the computing system to:
• monitor vibrations of a target asset at resonance frequencies of the target asset with a machine learning model, wherein the machine learning model is trained to generate estimated values at the resonance frequencies that are consistent with operation of the target asset with acceptable levels of resonant amplification vibration;
• detect excessive resonant vibration amplification based on a dissimilarity between vibration values for the target asset at the resonance frequencies and the estimated values;
• and
• generate an electronic alert that the target asset is undergoing the excessive resonant vibration amplification.