Early Detection of Thermoacoustic Instabilities Using Hidden Markov Models

Keyphrases

• Early Detection 100%
• Hidden Markov Model 100%
• Thermoacoustic Instability 100%
• Combustor 50%
• Active Control 50%
• Pressure Oscillation 50%
• Hidden Markov Modeling 50%
• Monitoring Control 50%
• Time Series Data 25%
• Combustion Process 25%
• Sensor Data 25%
• Hidden States 25%
• Markov Chain 25%
• Dynamic Data Driven 25%
• Computational Complexity 25%
• Electrically Heated 25%
• Measurement Techniques 25%
• Main Idea 25%
• Anomaly Detection 25%
• Data-driven Methods 25%
• Instability Growth Rate 25%
• Data Requirements 25%
• Statistical Learning Tools 25%

Engineering

• Early Detection 100%
• Thermoacoustic Instability 100%
• Active Control 50%
• Collected Data 25%
• Applicability 25%
• Combustion 25%
• Data Series 25%
• Sensor Data 25%
• Computational Complexity 25%
• Anomaly Detection 25%
• Main Idea 25%