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Proceedings Papers

Deep Learning Based Spectrum Compression Algorithm for Rotating Machinery Condition Monitoring

Gürkan Aydemir
Proc. ASME. SMASIS2018, Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation, and Control of Adaptive Systems; Integrated System Design and Implementation, V001T03A027, September 10–12, 2018
Paper No: SMASIS2018-8137
https://doi.org/10.1115/SMASIS2018-8137
View Paper titled, Deep Learning Based Spectrum Compression Algorithm for Rotating Machinery Condition Monitoring
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Topics: Algorithms, Compression, Condition monitoring, Machinery, Bearings, Maintenance, Signals, Artificial neural networks, Feature extraction, Flaw detection
Proceedings Papers

Detecting Broken Reciprocating Compressor Valves in pV Diagrams of Different Valve Types

Kurt Pichler, Edwin Lughofer, Markus Pichler, Thomas Buchegger, Erich Peter Klement, Matthias Huschenbett
Proc. ASME. SMASIS2013, Volume 2: Mechanics and Behavior of Active Materials; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting, V002T05A002, September 16–18, 2013
Paper No: SMASIS2013-3009
https://doi.org/10.1115/SMASIS2013-3009
View Paper titled, Detecting Broken Reciprocating Compressor Valves in pV Diagrams of Different Valve Types
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Topics: Compressors, Photovoltaics, Valves, Pressure, Stress, Feature extraction, Optimization, Shapes, Support vector machines
Proceedings Papers

Guided Wave Based Fatigue Crack Detection and Localization in Aluminum Aerospace Structures

Kevin Hensberry, Narayan Kovvali, Kuang C. Liu, Aditi Chattopadhyay, Antonia Papandreou-Suppappola
Proc. ASME. SMASIS2012, Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring, 907-916, September 19–21, 2012
Paper No: SMASIS2012-8241
https://doi.org/10.1115/SMASIS2012-8241
View Paper titled, Guided Wave Based Fatigue Crack Detection and Localization in Aluminum Aerospace Structures
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Topics: Aerospace industry, Aluminum, Fatigue cracks, Waves, Damage, Algorithms, Fracture (Materials), Sensors, Signal processing, Signals
Proceedings Papers

Structural Health Monitoring Technology for Aerospace Composite Propellant Tank

Sourav Banerjee, Piero Messidoro, Adriano Ferrarese, Shawn Beard, Ritubarna Banerjee
Proc. ASME. SMASIS2011, ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2, 563-570, September 18–21, 2011
Paper No: SMASIS2011-5235
https://doi.org/10.1115/SMASIS2011-5235
View Paper titled, Structural Health Monitoring Technology for Aerospace Composite Propellant Tank
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Topics: Aerospace composites, Propellants, Structural health monitoring, Aluminum, Vehicles, Carbon reinforced plastics, Composite materials, Damage, Elongation, Feature extraction