SAE ARD 50069 : 2002

1 SCOPE
  1.1 Purpose
  1.2 Field of Application
2 REFERENCES
  2.1 Applicable Documents
  2.2 Applicable References
  2.3 Definitions
  2.4 Acronyms
3 ARTIFICIAL NEURAL NETWORK METHODOLOGY
  3.1 ANN Structure and Learning
  3.2 Potential Benefits
  3.3 Limitations of Neural Networks for Condition Monitoring
4 GENERIC ENGINE CONDITION MONITORING PROCESS
  4.1 Sensor Signal Conditioning and Digitization
  4.2 Sensor Signal Range and Validity Tests
  4.3 Virtual Sensor Generation
  4.4 Feature Extraction
5 EXAMPLES OF NEURAL NETWORK APPLICATIONS
  5.1 Helicopter Drive Shaft Monitoring
  5.2 AGT-1500 Gas Turbine Engine
  5.3 Electrostatic Engine Monitoring System (EEMS)
6 GUIDELINES FOR THE USE OF ANN
  6.1 SAE E-32 Survey Letter
  6.2 Survey Results

Explains what an artificial neural network (ANN) is, what its potential and limitations are, and provides a guideline for its use in condition monitoring.