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  • 1
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    Optical information processing at NASA Ames Research Center (1993)
    In:  Other Sources
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    Publication Date: 2019-08-28
    Description: The combination of analog optical processors with digital electronic systems offers the potential of tera-OPS computational performance, while often requiring less power and weight relative to all-digital systems. NASA is working to develop and demonstrate optical processing techniques for on-board, real time science and mission applications. Current research areas and applications under investigation include optical matrix processing for space structure vibration control and the analysis of Space Shuttle Main Engine plume spectra, optical correlation-based autonomous vision for robotic vehicles, analog computation for robotic path planning, free-space optical interconnections for information transfer within digital electronic computers, and multiplexed arrays of fiber optic interferometric sensors for acoustic and vibration measurements.
    Keywords: OPTICS
    Type: AIAA PAPER 93-4673 , In: AIAA Computing in Aerospace Conference, 9th, San Diego, CA, Oct. 19-21, 1993, Technical Papers. Pt. 2 (A94-11401 01-62); p. 1154-1166.
    Format: text
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    NASA TECHNICAL REPORTS
  • 2
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    Optical computing at NASA Ames Research Center (1991)
    In:  Other Sources
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    Publication Date: 2019-07-13
    Description: Optical computing research at NASA Ames Research Center seeks to utilize the capability of analog optical processing, involving free-space propagation between components, to produce natural implementations of algorithms requiring large degrees of parallel computation. Potential applications being investigated include robotic vision, planetary lander guidance, aircraft engine exhaust analysis, analysis of remote sensing satellite multispectral images, control of space structures, and autonomous aircraft inspection.
    Keywords: COMPUTER SYSTEMS
    Type: AIAA PAPER 91-3779 , AIAA Computing in Aerospace Conference; Oct 21, 1991 - Oct 24, 1991; Baltimore, MD; United States
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  • 3
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    Detailed Vibration Analysis of Pinion Gear with Time-Frequency Methods (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-10
    Description: In this paper, the authors show a detailed analysis of the vibration signal from the destructive testing of a spiral bevel gear and pinion pair containing seeded faults. The vibration signal is analyzed in the time domain, frequency domain and with four time-frequency transforms: the Short Time Frequency Transform (STFT), the Wigner-Ville Distribution with the Choi-Williams kernel (WV-CW), the Continuous Wavelet' Transform (CWT) and the Discrete Wavelet Transform (DWT). Vibration data of bevel gear tooth fatigue cracks, under a variety of operating load levels and damage conditions, are analyzed using these methods. A new metric for automatic anomaly detection is developed and can be produced from any systematic numerical representation of the vibration signals. This new metric reveals indications of gear damage with all of the time-frequency transforms, as well as time and frequency representations, on this data set. Analysis with the CWT detects changes in the signal at low torque levels not found with the other transforms. The WV-CW and CWT use considerably more resources than the STFT and the DWT. More testing of the new metric is needed to determine its value for automatic anomaly detection and to develop fault detection methods for the metric.
    Keywords: Mathematical and Computer Sciences (General)
    Type: NASA/TM-2003-212269 , NAS 1.15:212269
    Format: application/pdf
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  • 4
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    The Application of Time-Frequency Methods to HUMS (2001)
    In:  Other Sources
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    Publication Date: 2019-07-13
    Description: This paper reports the study of four time-frequency transforms applied to vibration signals and presents a new metric for comparing them for fault detection. The four methods to be described and compared are the Short Time Frequency Transform (STFT), the Choi-Williams Distribution (WV-CW), the Continuous Wavelet Transform (CWT) and the Discrete Wavelet Transform (DWT). Vibration data of bevel gear tooth fatigue cracks, under a variety of operating load levels, are analyzed using these methods. The new metric for automatic fault detection is developed and can be produced from any systematic numerical representation of the vibration signals. This new metric reveals indications of gear damage with all of the methods on this data set. Analysis with the CWT detects mechanical problems with the test rig not found with the other transforms. The WV-CW and CWT use considerably more resources than the STFT and the DWT. More testing of the new metric is needed to determine its value for automatic fault detection and to develop methods of setting the threshold for the metric.
    Keywords: Quality Assurance and Reliability
    Type: AHS 57th Annual Forum and Technology Display; May 09, 2001 - May 11, 2001; Washington, DC; United States
    Format: text
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