Mr. Richard David Finlayson Profile

Richard David Finlayson

Director at Physical Acoustics Corp

SPIE Involvement:

Author

Proceedings Article | 19 April 2007 Paper

Integrated acoustic emission/vibration sensor for detecting damage in aircraft drive train components

Valery Godínez-Azcuaga, Didem Ozevin, Richard Finlayson, Athanasios Anastasopoulos, Apostolos Tsimogiannis

Proceedings Volume 6531, 65310C (2007) https://doi.org/10.1117/12.714753

KEYWORDS: Sensors, Acoustic emission, Interference (communication), Data acquisition, Signal processing, Pattern recognition, Signal detection, Acoustics, Nondestructive evaluation, Detection and tracking algorithms

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Diaphragm-type couplings are high misalignment torque and speed transfer components used in aircrafts. Crack development in such couplings, or in the drive train in general, can lead to component failure that can bring down an aircraft. Real time detection of crack formation and growth is important to prevent such catastrophic failures. However, there is no single Nondestructive Monitoring method available that is capable of assessing the early stages of crack growth in such components. While vibration based damage identification techniques are used, they cannot detect cracks until they reach a considerable size, which makes detection of the onset of cracking extremely difficult. Acoustic Emission (AE) can detect and monitor early stage crack growth, however excessive background noise can mask acoustic emissions produced by crack initiation. Fusion of the two mentioned techniques can increase the accuracy of measurement and minimize false alarms. However, a monitoring system combining both techniques could prove too large and heavy for the already restricted space available in aircrafts. In the present work, we will present a newly developed integrated Acoustic Emission/Vibration (AE/VIB) combined sensor which can operate in the temperature range of -55°F to 257°F and in high EMI environment. This robust AE/VIB sensor has a frequency range of 5 Hz-2 kHz for the vibration component and a range of 200-400 kHz for the acoustic emission component. The sensor weight is comparable to accelerometers currently used in flying aircraft. Traditional signal processing approaches are not effective due to high signal attenuation and strong background noise conditions, commonly found in aircraft drive train systems. As an alternative, we will introduce a new Supervised Pattern Recognition (SPR) methodology that allows for simultaneous processing of the signals detected by the AE/VIB sensor and their classification in near-real time, even in these adverse conditions. Finally, we will discuss the architecture developed to produce a fully autonomous monitoring tool based on the fusion of the AE and Vibration techniques.

Proceedings Article | 9 May 2005 Paper

A conceptual framework for intelligent monitoring systems

Thomas Juliano, Jay Meegoda, Edip Niver, Daniel Watts, Sameer Wadhawan, Richard Finlayson

Proceedings Volume 5769, (2005) https://doi.org/10.1117/12.601658

KEYWORDS: Sensors, Intelligence systems, Waveguides, Dielectrics, Corrosion, Control systems, Modeling and simulation, Telecommunications, Data fusion, Metals

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Proceedings Article | 9 May 2005 Paper

Acoustic emission (AE) health monitoring of diaphragm type couplings using neural network analysis

Valery Godinez-Azcuaga, Fong Shu, Richard Finlayson, Bruce O'Donnell

Proceedings Volume 5770, (2005) https://doi.org/10.1117/12.601464

KEYWORDS: Metals, Sensors, Acoustic emission, Signal processing, Software development, Neural networks, Warfare, Picture Archiving and Communication System, Control systems, Data acquisition

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Proceedings Article | 9 May 2005 Paper

Development of acoustic health monitoring for railroad tank cars

Richard Gostautas, Richard Finlayson, Valery Godinez, Adrian Pollock, Jose Penya

Proceedings Volume 5770, (2005) https://doi.org/10.1117/12.601772

KEYWORDS: Sensors, Corrosion, Inspection, Acoustics, Fourier transforms, Wave plates, Dispersion, Nondestructive evaluation, Calibration, Picture Archiving and Communication System

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Proceedings Article | 21 July 2004 Paper

Acoustic Emission (AE) of fiberglass insulation material

Fong Shu, Valery Godinez, Richard Finlayson

Proceedings Volume 5392, (2004) https://doi.org/10.1117/12.538066

KEYWORDS: Principal component analysis, Acoustic emission, Picture Archiving and Communication System, Pattern recognition, Statistical analysis, Manufacturing, Data acquisition, Signal generators, Control systems, Inspection

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Proceedings Article | 21 July 2004 Paper

Semi-real-time monitoring of cracking on couplings by neural network analysis of acoustic emission signals

Valery Godinez-Azcuaga, Fong Shu, Richard Finlayson, Bruce O'Donnell

Proceedings Volume 5394, (2004) https://doi.org/10.1117/12.540085

KEYWORDS: Interference (communication), Neural networks, Sensors, Acoustic emission, Signal detection, Data acquisition, Computing systems, Pattern recognition, Signal processing, Acoustics

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Proceedings Article | 1 August 2003 Paper

Continuous health monitoring of graphite epoxy motorcases (GEM)

Richard Finlayson, Marco Luzio, Ronnie Miller, Adrian Pollock

Proceedings Volume 5046, (2003) https://doi.org/10.1117/12.484100

KEYWORDS: Sensors, Signal attenuation, Composites, Algorithm development, Velocity measurements, Acoustics, Epoxies, Signal detection, Acoustic emission, Wave propagation

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Proceedings Article | 30 July 2001 Paper

Acoustic emission evaluation of reinforced concrete bridge beam with graphite composite laminate

Dan Johnson, H. Warren Shen, Richard Finlayson

Proceedings Volume 4330, (2001) https://doi.org/10.1117/12.434150

KEYWORDS: Sensors, Acoustic emission, Fiber reinforced polymers, Fourier transforms, Bridges, Failure analysis, Composites, Acoustics, Nondestructive evaluation, Visualization

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Proceedings Article | 24 July 2001 Paper

Continuous health monitoring of Graphite Epoxy Motorcases (GEM)

Richard Finlayson, David Schaafsma, H. Warren Shen, Mark Carlos, Ronnie Miller, Brent Shepherd

Proceedings Volume 4335, (2001) https://doi.org/10.1117/12.434169

KEYWORDS: Sensors, Fiber optics sensors, Composites, Signal attenuation, Fiber Bragg gratings, Epoxies, Magnetic sensors, Acoustics, Aerospace engineering, Rockets

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