1. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Sensor placement on the 9 L diesel engine Figure Legend:

2. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Test conditions (87 test points) comprised of load conditions Figure Legend:

3. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Test conditions including breakdown of training and validation data plotted as start of injection versus speed (a) and torque (b) Figure Legend:

4. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 AHR trace marked with combustion metrics (engine speed = 2200 rpm, engine load = 725 Nm, SOI = −11.3 deg CA) Figure Legend:

5. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Radial basis function network structure Figure Legend:

6. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Accelerometer signal overlaid upon derived AHR trace Figure Legend:

7. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Schematic illustration for selection of X k from Q Figure Legend:

8. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 AHR signatures indicating PACL differences between estimated and derived for engine speed = 2200 rpm and engine load = 725 Nm Figure Legend:

9. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Comparison of AHR estimation results based on three RW selection methods Figure Legend:

10. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Frequency content for accelerometer signal and artificial noise Figure Legend:

11. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Artificial noise in time domain Figure Legend:

12. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Computation time comparison between PCA and MGS methods Figure Legend:

13. Date of download: 9/17/2016 Copyright © ASME. All rights reserved. From: Accelerometer-Based Combustion Metrics Reconstruction With Radial Basis Function Neural Network for a 9 L Diesel Engine J. Eng. Gas Turbines Power. 2013;136(3):031507-031507-9. doi:10.1115/1.4025886 Start of injection closed-loop control with CA50 as the feedback Figure Legend: