1-20 of 199
Service life (Equipment)
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Remaining Useful Life Prediction of Aircraft Engine Based on Bi-LSTM Network Integrated With Attention Mechanism

Guixian Qu, Tian Qiu, Shuiting Ding, Long Ma, Qiyu Yuan, Qinglin Ma, Yang Si
Proc. ASME. GT2024, Volume 1: Aircraft Engine, V001T01A019, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-123637
https://doi.org/10.1115/GT2024-123637
View Paper titled, Remaining Useful Life Prediction of Aircraft Engine Based on Bi-LSTM Network Integrated With Attention Mechanism
Open the PDF for Remaining Useful Life Prediction of Aircraft Engine Based on Bi-LSTM Network Integrated With Attention Mechanism in another window
Topics: Aircraft engines, Service life (Equipment)
Proceedings Papers

Machine Learning Regression Models for Turbofan Engines: A Comparative Study on Remaining Useful Life Prediction

Zahi M. Omer, Abdulla Al Seiari, Zhaohui Cen, Francisco Bilendo
Proc. ASME. GT2024, Volume 1: Aircraft Engine, V001T01A047, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127544
https://doi.org/10.1115/GT2024-127544
View Paper titled, Machine Learning Regression Models for Turbofan Engines: A Comparative Study on Remaining Useful Life Prediction
Open the PDF for Machine Learning Regression Models for Turbofan Engines: A Comparative Study on Remaining Useful Life Prediction in another window
Topics: Engines, Machine learning, Regression models, Service life (Equipment), Turbofans
Proceedings Papers

Aero-Engine Remaining Useful Life Prediction via Physics-Informed Self-Attention Encoder

Xuanwu Zhang, Jiayue Lou, Jifa Zhang, Yao Zheng, Yifan Xia
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A022, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124893
https://doi.org/10.1115/GT2024-124893
View Paper titled, Aero-Engine Remaining Useful Life Prediction via Physics-Informed Self-Attention Encoder
Open the PDF for Aero-Engine Remaining Useful Life Prediction via Physics-Informed Self-Attention Encoder in another window
Topics: Aircraft engines, Physics, Service life (Equipment)
Proceedings Papers

Implementation of Artificial Intelligence for Aircraft Engine Health Monitoring and Prognostics

Aditya Aditya, Theoklis Nikolaidis, Arias Chao Manuel, Simone Togni
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A030, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127081
https://doi.org/10.1115/GT2024-127081
View Paper titled, Implementation of Artificial Intelligence for Aircraft Engine Health Monitoring and Prognostics
Open the PDF for Implementation of Artificial Intelligence for Aircraft Engine Health Monitoring and Prognostics in another window
Topics: Aircraft engines, Artificial intelligence, Condition monitoring, Deep learning, Engines, Convolutional neural networks, Cycles, Flight, Service life (Equipment), Aircraft
Proceedings Papers

Low Data Prognostic Model for Rolling Element Bearing Remaining Useful Life

Edoardo Gheller, Sivachakaravarthy Natarajan, Abyjith Pazhoor, Steven Chatterton, Andrea Vania, Paolo Pennacchi
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A035, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127841
https://doi.org/10.1115/GT2024-127841
View Paper titled, Low Data Prognostic Model for Rolling Element Bearing Remaining Useful Life
Open the PDF for Low Data Prognostic Model for Rolling Element Bearing Remaining Useful Life in another window
Topics: Rolling bearings, Service life (Equipment), Bearings, Failure, Algorithms, Damage, Maintenance, Delays, Filters, Gas turbines
Proceedings Papers

Rejuvenation Heat Treatment Development to Extend the Service Life of René N4 Single Crystal Gas Turbine Blades

Cristina Motta, Francesco Mastromatteo, Elisabetta Gariboldi, Filippo Cappuccini
Proc. ASME. GT2024, Volume 9: Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications; Steam Turbine, V009T17A010, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124014
https://doi.org/10.1115/GT2024-124014
View Paper titled, Rejuvenation Heat Treatment Development to Extend the Service Life of René N4 Single Crystal Gas Turbine Blades
Open the PDF for Rejuvenation Heat Treatment Development to Extend the Service Life of René N4 Single Crystal Gas Turbine Blades in another window
Topics: Blades, Crystals, Gas turbines, Heat treating (Metalworking), Maintenance, Recrystallization, Service life (Equipment), Superalloys
Proceedings Papers

Possibilities of Applying Machine Learning Techniques for Probabilistic Analysis in a Turbine Blade-Disk Interface

Elmira Emmrich, Md Tarekul Islam, Matthias Voigt, Lukas Bruder, Julian von Lautz, Ronald Mailach
Proc. ASME. GT2024, Volume 10B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V10BT25A002, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122477
https://doi.org/10.1115/GT2024-122477
View Paper titled, Possibilities of Applying Machine Learning Techniques for Probabilistic Analysis in a Turbine Blade-Disk Interface
Open the PDF for Possibilities of Applying Machine Learning Techniques for Probabilistic Analysis in a Turbine Blade-Disk Interface in another window
Topics: Blades, Disks, Machine learning, Metamodeling, Turbines, Deep neural networks, Design, Finite element model, Failure, Finite element analysis
Proceedings Papers

Digital Service Twin to Assess Engine Deterioration and Remaining Part Life

Markus Klein, Stephan Staudacher, Kimon Abu-Taa, Jonas Schwengler
Proc. ASME. GT2022, Volume 1: Aircraft Engine; Ceramics and Ceramic Composites, V001T01A020, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82113
https://doi.org/10.1115/GT2022-82113
View Paper titled, Digital Service Twin to Assess Engine Deterioration and Remaining Part Life
Open the PDF for Digital Service Twin to Assess Engine Deterioration and Remaining Part Life in another window
Topics: Engines, Databases, Flight, Cycles, Damage, Jet engines, Performance, Resolution (Optics), Sensitivity analysis, Service life (Equipment)
Proceedings Papers

A GTC-CGC Health Assessment Method for Gas Turbine Engine

Ran Ao, Yunpeng Cao, Junqi Luan, Xiaoyu Han, Shuying Li, Li Yan
Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A020, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-83076
https://doi.org/10.1115/GT2022-83076
View Paper titled, A GTC-CGC Health Assessment Method for Gas Turbine Engine
Open the PDF for A GTC-CGC Health Assessment Method for Gas Turbine Engine in another window
Topics: Gas turbines, Service life (Equipment)
Proceedings Papers

Explainable and Interpretable AI-Assisted Remaining Useful Life Estimation for Aeroengines

Georgios Protopapadakis, Asteris Apostolidis, Anestis I. Kalfas
Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A002, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-80777
https://doi.org/10.1115/GT2022-80777
View Paper titled, Explainable and Interpretable AI-Assisted Remaining Useful Life Estimation for Aeroengines
Open the PDF for Explainable and Interpretable AI-Assisted Remaining Useful Life Estimation for Aeroengines in another window
Topics: Service life (Equipment), Maintenance, Algorithms, Artificial intelligence, Artificial neural networks, Cycles, Databases, Engines, Feature selection, Flight
Proceedings Papers

Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giovanni Bechini
Proc. ASME. GT2022, Volume 7: Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications, V007T19A004, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-80666
https://doi.org/10.1115/GT2022-80666
View Paper titled, Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data
Open the PDF for Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data in another window
Topics: Gas turbines, Artificial neural networks, Failure, Maintenance, Sensors, Service life (Equipment)
Proceedings Papers

Quantification of the Impact of the Crack Shape Constraint Assumption Onto Predicted Remaining Useful Life

Adrian Loghin
Proc. ASME. GT2022, Volume 8A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Engineering Design, Analysis, and Additive Manufacturing; Fatigue, Fracture, and Life Prediction, V08AT24A005, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-80229
https://doi.org/10.1115/GT2022-80229
View Paper titled, Quantification of the Impact of the Crack Shape Constraint Assumption Onto Predicted Remaining Useful Life
Open the PDF for Quantification of the Impact of the Crack Shape Constraint Assumption Onto Predicted Remaining Useful Life in another window
Topics: Fatigue cracks, Finite element analysis, Fracture (Materials), Service life (Equipment), Shapes, Stress, Crack propagation, Errors, Modeling, Computer software
Proceedings Papers

Data Driven Approach to Analyzing The Impact of Power Plant Cycling on Air Preheater Degradation and Remaining Useful Life

Himanshu Sharma, Veronica Adetola, Laurentiu Marinovici, Herbert T. Schaef
Proc. ASME. GT2021, Volume 9B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V09BT26A013, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59914
https://doi.org/10.1115/GT2021-59914
View Paper titled, Data Driven Approach to Analyzing The Impact of Power Plant Cycling on Air Preheater Degradation and Remaining Useful Life
Open the PDF for Data Driven Approach to Analyzing The Impact of Power Plant Cycling on Air Preheater Degradation and Remaining Useful Life in another window
Topics: Power stations, Service life (Equipment)
Proceedings Papers

Design and Analysis of Cooling Structure for Dry Gas Seal Chamber of Supercritical Carbon Dioxide Turbine Shaft End

Tao Yuan, Zhigang Li, Jun Li, Qi Yuan
Proc. ASME. GT2021, Volume 10: Supercritical CO2, V010T30A012, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59177
https://doi.org/10.1115/GT2021-59177
View Paper titled, Design and Analysis of Cooling Structure for Dry Gas Seal Chamber of Supercritical Carbon Dioxide Turbine Shaft End
Open the PDF for Design and Analysis of Cooling Structure for Dry Gas Seal Chamber of Supercritical Carbon Dioxide Turbine Shaft End in another window
Topics: Cooling, Design, Supercritical carbon dioxide, Turbines, Temperature, Deformation, Leakage, Clearances (Engineering), Compressors, Flow (Dynamics)
Proceedings Papers

Prediction of Gas Turbine Trip: a Novel Methodology Based on Random Forest Models

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi
Proc. ASME. GT2021, Volume 8: Oil and Gas Applications; Steam Turbine, V008T20A005, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-58916
https://doi.org/10.1115/GT2021-58916
View Paper titled, Prediction of Gas Turbine Trip: a Novel Methodology Based on Random Forest Models
Open the PDF for Prediction of Gas Turbine Trip: a Novel Methodology Based on Random Forest Models in another window
Topics: Gas turbines, Machine learning, Case studies, Data mining, Image segmentation, Natural, scientific and engineering processes and practices, Profitability, Sensors, Service life (Equipment), Time series
Proceedings Papers

Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi
Proc. ASME. GT2021, Volume 8: Oil and Gas Applications; Steam Turbine, V008T20A004, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-58914
https://doi.org/10.1115/GT2021-58914
View Paper titled, Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip
Open the PDF for Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip in another window
Topics: Gas turbines, Machine learning, Algorithms, Damage, Fourier transforms, Peak load, Performance, Reliability, Service life (Equipment), Stress
Proceedings Papers

Bearing Skidding Detection for High Speed and Aero Engine Applications

Azzedine Dadouche, Rami Kerrouche
Proc. ASME. GT2021, Volume 9A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Design and Engineering, V09AT24A014, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59122
https://doi.org/10.1115/GT2021-59122
View Paper titled, Bearing Skidding Detection for High Speed and Aero Engine Applications
Open the PDF for Bearing Skidding Detection for High Speed and Aero Engine Applications in another window
Topics: Aircraft engines, Bearings, Lubrication, Roller bearings, Rollers, Stress, Acoustics, Damage, Data acquisition systems, Electromagnetic induction
Proceedings Papers

Numerical Investigation of Air-Oil Two-Phase Flow Pattern Transition in the Scavenge Line of an Aeroengine

Ghofrane Sekrani, Jean-Sebastien Dick, Sébastien Poncet, Sravankumar Nallamothu
Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T01A009, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-58988
https://doi.org/10.1115/GT2021-58988
View Paper titled, Numerical Investigation of Air-Oil Two-Phase Flow Pattern Transition in the Scavenge Line of an Aeroengine
Open the PDF for Numerical Investigation of Air-Oil Two-Phase Flow Pattern Transition in the Scavenge Line of an Aeroengine in another window
Topics: Two-phase flow, Flow (Dynamics), Modeling, Fluids, Porosity, Turbulence, Air flow, Algebra, Calibration, Compressibility
Proceedings Papers

Effect of Differential Tip Clearance on the Performance of a Tandem Rotor

Amit Kumar, Hitesh Chhugani, Shubhali More, A. M. Pradeep
Proc. ASME. GT2021, Volume 2A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, V02AT31A023, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59007
https://doi.org/10.1115/GT2021-59007
View Paper titled, Effect of Differential Tip Clearance on the Performance of a Tandem Rotor
Open the PDF for Effect of Differential Tip Clearance on the Performance of a Tandem Rotor in another window
Topics: Clearances (Engineering), Rotors, Vortices, Pressure, Pressure gradient, Blades, Design, Engines, Flow (Dynamics), Leakage
Proceedings Papers

Influence of the Tool Wear on the Quality and Service Life of Gears for the Geared Turbofan Technology Machined by Five-Axis Milling

Thomas Lakner, Christoph Zachert, René Greschert, Daniel Schraknepper, Thomas Bergs
Proc. ASME. GT2021, Volume 7: Industrial and Cogeneration; Manufacturing Materials and Metallurgy, V007T17A007, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59172
https://doi.org/10.1115/GT2021-59172
View Paper titled, Influence of the Tool Wear on the Quality and Service Life of Gears for the Geared Turbofan Technology Machined by Five-Axis Milling
Open the PDF for Influence of the Tool Wear on the Quality and Service Life of Gears for the Geared Turbofan Technology Machined by Five-Axis Milling in another window
Topics: Gears, Machining, Milling, Service life (Equipment), Turbofans, Wear