EnergyFaultDetector Logo

Getting started

  • Usage examples
  • Quick fault detection (CLI)
  • Configuration

Models and methods

  • ARCANA: Root cause analysis
  • Model overview
  • Sequence models
  • Seq2One models (sequence-to-one)
  • Seq2Seq models (sequence-to-sequence)

Advanced usage

  • Advanced usage and customization
  • Logging Configuration

API reference

  • The EnergyFaultDetector package
    • energy_fault_detector
      • Config
      • FaultDetector
      • energy_fault_detector.anomaly_scores
      • energy_fault_detector.autoencoders
      • energy_fault_detector.config
      • energy_fault_detector.core
      • energy_fault_detector.data_preprocessing
      • energy_fault_detector.data_splitting
      • energy_fault_detector.evaluation
      • energy_fault_detector.quick_fault_detection
      • energy_fault_detector.root_cause_analysis
      • energy_fault_detector.threshold_selectors
      • energy_fault_detector.utils
        • energy_fault_detector.utils.analysis
        • energy_fault_detector.utils.data_downloads
        • energy_fault_detector.utils.visualisation
      • energy_fault_detector.registration
EnergyFaultDetector
  • energy_fault_detector
  • energy_fault_detector
  • energy_fault_detector.utils

energy_fault_detector.utils

Helper utilities for post-processing, data downloading, index handling, and visualization.

  • energy_fault_detector.utils.analysis
    • calculate_criticality()
    • create_events()
  • energy_fault_detector.utils.data_downloads
    • download_backblaze_data()
    • download_zenodo_data()
  • energy_fault_detector.utils.visualisation
    • animate_bias()
    • animate_corrected_input()
    • plot_arcana_importance_series()
    • plot_arcana_losses()
    • plot_arcana_mean_importances()
    • plot_learning_curve()
    • plot_reconstruction()
    • plot_reconstruction_with_model()
    • plot_score_with_threshold()
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