Hey folks in MATLAB community! I'm an engineering student from India messing around with deep learning/ML for spotting faults in power electronics stuff—like inverter issues or microgrid glitches in Simulink. What's your take? Which toolbox rocks f
Hey folks in MATLAB community! I'm an engineering student from India messing around with deep learning/ML for spotting faults in power electronics stuff—like inverter issues or microgrid glitches in Simulink.
What's your take?
- Which toolbox rocks for this—Deep Learning one or Predictive Maintenance?
- Any gotchas when training on sim data vs real hardware?
- Cool workflows or GitHub links you've used?
Would love your real experiences! 😊
1 Comment
Time DescendingI usually use the fileEnsembleDatastore and simulationEnsembleDatastore provided by PHM toolbox to manage large real dataset and simulated dataset respectively. Furthermore, there are other useful datastores to select for managing specific data format in deep learning pipeline. See Select Datastore for File Format or Application
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