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Journal Articles
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2023, 6(2): 021003.
Paper No: NDE-22-1011
Published Online: January 31, 2023
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 1 Schematic of the IoT/Fog laboratory-scale system developed to collect spindle health information for training and validating AI/ML classifiers More
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 2 Equipment for laboratory-scaled spindle condition-based monitoring sensing system: (1) spindle, GDZ-80-1.5 C; (2) vibration sensor-wired, Willcoxon 789 A—thread mount (Vib-2); (3) vibration sensor-wireless smart sensor, TE8911—thread mount (Vib-1/TC-1); (4) acoustic pressure sensor (SND-1),... More
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 3 Spectrum overall, g comparison in spindle operation modes at various rpm More
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 4 Enveloping RMS comparison in spindle operation modes with various rpm More
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 5 Skewness comparison in spindle operation modes with various rpm More
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 6 Averaged Kurtosis comparison in spindle operation modes with various rpm More
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 7 Crest indicator comparison in spindle operation modes with various rpm More
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 8 Averaged spectrogram in various failure modes, spindle operating at 6000 rpm, normal operation (top left), imbalance (top right), ingression (bottom left), and crashed (bottom right) More
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 9 Data from the smart sensor (TE8911) for various failure modes. Spindle operated at 6000 rpm. Normal operation (top left), imbalance (top right), ingression (bottom left), and crashed (bottom right). More
Image
in Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: January 31, 2023
Fig. 10 Example of tracing the optimization, hyperparameters, and accuracy result with the grid method. The top 5% results are displayed. Possible activation functions were ReLU (0), LeakyReLU (1), or tanh (2). More
Journal Articles
Accepted Manuscript
Article Type: Research Papers
ASME J Nondestructive Evaluation.
Paper No: NDE-22-1048
Published Online: January 23, 2023
Journal Articles
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2023, 6(2): 021002.
Paper No: NDE-22-1010
Published Online: December 12, 2022
Image
in Log Grading and Knot Identification by Oblique X-Ray Scanning
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: December 12, 2022
Fig. 1 Plan view of X-ray log scanners: ( a ) orthogonal scanning and ( b ) oblique scanning More
Image
in Log Grading and Knot Identification by Oblique X-Ray Scanning
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: December 12, 2022
Fig. 2 Knot model reference diagram: 1 = plan view, 2 = axial view, and 3 = side view More
Image
in Log Grading and Knot Identification by Oblique X-Ray Scanning
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: December 12, 2022
Fig. 3 Geometric parameters defining the location of a knot within a log More
Image
in Log Grading and Knot Identification by Oblique X-Ray Scanning
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: December 12, 2022
Fig. 4 Schematic representation of a knot within an oblique scan: ( a ) plan view of the scanning arrangement and ( b ) axial view More
Image
in Log Grading and Knot Identification by Oblique X-Ray Scanning
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: December 12, 2022
Fig. 5 Schematic representation of a knot observed in a radiograph More
Image
in Log Grading and Knot Identification by Oblique X-Ray Scanning
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: December 12, 2022
Fig. 6 Scans from two orientations 90 deg apart with separate X-ray sources and detectors More
Image
in Log Grading and Knot Identification by Oblique X-Ray Scanning
> Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Published Online: December 12, 2022
Fig. 7 Scanning apparatus used for data collection: ( a ) schematic cross section showing interaction between X-ray source and detector and ( b ) constructed cart used for data collection More