7.7.8. Blower Imbalance

Detect blade imbalance in HVAC blowers using 3-phase motor current analysis.

7.7.8.1. Overview

Blade imbalance in HVAC blowers causes increased vibration, noise, and premature bearing wear. This example uses motor current signature analysis to detect imbalance conditions before they cause equipment failure.

Application: HVAC systems, industrial fans, predictive maintenance

Task Type: Time Series Classification

Data Type: Multivariate (3-phase motor currents)

7.7.8.2. Configuration

common:
  target_module: 'timeseries'
  task_type: 'generic_timeseries_classification'
  target_device: 'F28P55'

dataset:
  dataset_name: 'blower_imbalance'

training:
  model_name: 'FanImbalance_model_1_t'
  training_epochs: 50
  batch_size: 32

testing: {}
compilation: {}

7.7.8.3. Running the Example

cd tinyml-modelzoo
./run_tinyml_modelzoo.sh examples/blower_imbalance/config.yaml

7.7.8.4. Dataset Details

Input Variables:

  • Phase A current

  • Phase B current

  • Phase C current

Classes:

  • Normal operation

  • Blade imbalance detected

7.7.8.6. See Also