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Proceedings Papers

A Novel Gas Path Fault Diagnostic Model for Gas Turbine Based on Explainable Convolutional Neural Network With LIME Method

Chen Yao, Xi Yueyun, Chen Jinwei, Zhang Huisheng

Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A008, June 7–11, 2021

Paper No: GT2021-59289

DOI: https://doi.org/10.1115/GT2021-59289

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Topics: Artificial neural networks, Gas turbines, Fault diagnosis, Aviation, Energy industry, Failure mechanisms, Maintenance, Sensors

Proceedings Papers

Research on Fault Diagnosis of Steam Turbine Rotor Unbalance and Parallel Misalignment Based on Numerical Simulation and Convolutional Neural Network

Chongyu Wang, Di Zhang, Yonghui Xie

Proc. ASME. GT2021, Volume 8: Oil and Gas Applications; Steam Turbine, V008T22A019, June 7–11, 2021

Paper No: GT2021-60247

DOI: https://doi.org/10.1115/GT2021-60247

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Topics: Artificial neural networks, Computer simulation, Fault diagnosis, Flaw detection, Rotors, Steam turbines

Proceedings Papers

An Efficient Prediction Method for the Azimuthal Migration of Combustion Inhomogeneity in Multi-Stage Cooled Turbines

Qingfu He, Zhongran Chi, Shusheng Zang

Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A017, June 7–11, 2021

Paper No: GT2021-60220

DOI: https://doi.org/10.1115/GT2021-60220

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Topics: Combustion, Turbines, Annulus, Simulation, Thermocouples, Combustion chambers, Errors, Exhaust systems, Steady state, Temperature

Proceedings Papers

A Feature Weighted Kernel Extreme Learning Machine Ensemble Method for Gas Turbine Fault Diagnosis

Liping Yan, Xuezhi Dong, Hualiang Zhang, Haisheng Chen

Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A003, September 21–25, 2020

Paper No: GT2020-14188

DOI: https://doi.org/10.1115/GT2020-14188

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Topics: Fault diagnosis, Gas turbines, Machinery

Proceedings Papers

Intelligent Fault Diagnosis of Planetary Wheel Bearing Using Constrained Independent Component Analysis and Stacked Sparse Autoencoder

Hongkun Li, Gangjin Huang, Jiayu Ou, Yuanliang Zhang

Proc. ASME. GT2020, Volume 12: Wind Energy, V012T42A009, September 21–25, 2020

Paper No: GT2020-15311

DOI: https://doi.org/10.1115/GT2020-15311

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Topics: Bearings, Fault diagnosis, Independent component analysis, Wheels, Signals, Machinery, Aerospace industry, Eigenvalues, Maintenance, Mechanical drives

Proceedings Papers

On the Effects of a Shaft Crack Propagation on the Dynamic Behavior of a Steam Turbine

Steven Chatterton, Paolo Pennacchi, Andrea Vania

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT29A003, September 21–25, 2020

Paper No: GT2020-14207

DOI: https://doi.org/10.1115/GT2020-14207

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Topics: Crack propagation, Fracture (Materials), Machinery, Steam turbines, Vibration, Cross section (Physics), Condition monitoring, Fatigue cracks, Fault diagnosis, Probes

Proceedings Papers

Incipient Fault Diagnosis of the Planetary Gearbox Based on Improved Variational Mode Decomposition and Frequency-Weighted Energy Operator

Hongkun Li, Chaoge Wang, Jiayu Ou

Proc. ASME. GT2019, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T48A003, June 17–21, 2019

Paper No: GT2019-90572

DOI: https://doi.org/10.1115/GT2019-90572

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Topics: Fault diagnosis, Mechanical drives, Signals, Accidents, Algorithms, Failure, Feature extraction, Gears, Helicopters, Petrochemicals

Proceedings Papers

Full-Annulus URANS Study of Inlet Hot-Streak Transportation in a Four-Stage Gas Turbine

Zhongran Chi, Haiqing Liu, Shusheng Zang, Chengxiong Pan, Meibao Zhang

Proc. ASME. GT2018, Volume 2A: Turbomachinery, V02AT45A011, June 11–15, 2018

Paper No: GT2018-75596

DOI: https://doi.org/10.1115/GT2018-75596

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Topics: Annulus, Gas turbines, Transportation systems, Temperature, Computational fluid dynamics, Turbines, Stators, Combustion chambers, Exhaust systems, Flow (Dynamics)

Proceedings Papers

A Two-Layer Multi-Model Gas Path Fault Diagnosis Method

Yunpeng Cao, Yinghui He, Fang Yu, Jianwei Du, Shuying Li, Qingcai Yang, Rui Liu

Proc. ASME. GT2018, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A009, June 11–15, 2018

Paper No: GT2018-75368

DOI: https://doi.org/10.1115/GT2018-75368

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Topics: Fault diagnosis, Flaw detection, Gas turbines, Algorithms, Simulation, Artificial neural networks, Probability, Statistics

Proceedings Papers

Fault Diagnosis Method for Inter-Shaft Bearings Based on Information Exergy and Random Forest

Jing Tian, Yanting Ai, Ming Zhao, Chengwei Fei, Fengling Zhang

Proc. ASME. GT2018, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A017, June 11–15, 2018

Paper No: GT2018-76101

DOI: https://doi.org/10.1115/GT2018-76101

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Topics: Bearings, Exergy, Fault diagnosis, Signals, Wavelets, Acoustic emissions

Proceedings Papers

Selecting Optimal Features for Cross-Fleet Analysis and Fault Diagnosis of Industrial Gas Turbines

Yu Zhang, Miguel Martínez-García, Anthony Latimer

Proc. ASME. GT2018, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A005, June 11–15, 2018

Paper No: GT2018-75286

DOI: https://doi.org/10.1115/GT2018-75286

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Topics: Fault diagnosis, Industrial gases, Turbines, Engines, Feature selection, Sensors, Thermocouples, Algorithms, Ducts, Signals

Proceedings Papers

A Fault Diagnosis Approach for Rolling Element Bearing Based on S-Transform and Artificial Neural Network

Ningbo Zhao, Hongtao Zheng, Lei Yang, Zhitao Wang

Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A003, June 26–30, 2017

Paper No: GT2017-63253

DOI: https://doi.org/10.1115/GT2017-63253

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Topics: Artificial neural networks, Fault diagnosis, Rolling bearings, Condition monitoring, Vibration, Feature extraction, Gas turbines, Pattern recognition, Rotors, Signals

Proceedings Papers

Design of Fault Detection System for a Heavy Duty Gas Turbine With State Observer and Tracking Filter

Yongwen Liu

Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A017, June 26–30, 2017

Paper No: GT2017-64089

DOI: https://doi.org/10.1115/GT2017-64089

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Topics: Design, Filters, Flaw detection, Gas turbines, State estimation, Engines, Linear systems, Condition monitoring, Control equipment, Errors

Proceedings Papers

Fault Diagnosis of Gas Turbine Based on Complex Networks Theory

Yunpeng Cao, Dongyang Yan, Qingcai Yang, Shuying Li, Minghao Wu, Lie Chen

Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A019, June 26–30, 2017

Paper No: GT2017-64373

DOI: https://doi.org/10.1115/GT2017-64373

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Topics: Fault diagnosis, Gas turbines, Algorithms, Network models, Topology, Flaw detection, Probability, Simulation, Systems analysis

Proceedings Papers

Model-Based Fault Diagnosis for Performance Degradations of Turbofan Gas Path via Optimal Robust Residuals

Chao Yang, Xiangxing Kong, Xi Wang

Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A004, June 13–17, 2016

Paper No: GT2016-56300

DOI: https://doi.org/10.1115/GT2016-56300

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Topics: Fault diagnosis, Turbofans, Compressors, Sensors, Turbines, Aircraft engines, Algorithms, Control systems, Design methodology, Simulation results

Proceedings Papers

Design of Dynamic Tracking Filter for Model Based Diagnosis of Gas Turbine Engine

Yongwen Liu, Yunsheng Liu

Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A010, June 13–17, 2016

Paper No: GT2016-56481

DOI: https://doi.org/10.1115/GT2016-56481

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Topics: Design, Filters, Gas turbines, Fault diagnosis, Compressors, Condition monitoring, Feedback, Flow (Dynamics), Pressure, Simulation

Proceedings Papers

Rotating Machinery Monitoring and Fault Diagnosis With Neural Network Enhanced Fuzzy Logic Expert System

Xiaojun Li, Alan Palazzolo, Zhiyang Wang

Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A026, June 13–17, 2016

Paper No: GT2016-58102

DOI: https://doi.org/10.1115/GT2016-58102

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Topics: Artificial neural networks, Expert systems, Fault diagnosis, Fuzzy logic, Machinery, Signals, Computer software, Dynamics (Mechanics), Filters

Proceedings Papers

Fault Diagnosis on an Aircraft Engine Model Equipped With Self-Sensing Piezoelectric Actuators

Ramakrishnan Ambur, Xiaonan Zhao, Stephan Rinderknecht

Proc. ASME. GT2016, Volume 7A: Structures and Dynamics, V07AT27A006, June 13–17, 2016

Paper No: GT2016-56975

DOI: https://doi.org/10.1115/GT2016-56975

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Topics: Aircraft engines, Fault diagnosis, Piezoelectric actuators, Actuators, Rotors, Dampers, Engineering simulation, Piezoelectric materials, Sensors, Simulation

Proceedings Papers

Engine Health Monitoring for the Gas Turbines in Royal Naval Ships

A. V. Cooke

Proc. ASME. GT1975, Volume 1A: General, V01AT01A023, March 2–6, 1975

Paper No: 75-GT-24

DOI: https://doi.org/10.1115/75-GT-24

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Topics: Engines, Gas turbines, Ships, Data collection, Fault diagnosis

Proceedings Papers

A Digital Approach to Industrial Gas Turbine Control

J. Tipton

Proc. ASME. GT1978, Volume 1A: General, V01AT01A039, April 9–13, 1978

Paper No: 78-GT-39

DOI: https://doi.org/10.1115/78-GT-39

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Topics: Industrial gases, Turbines, Engines, Fuels, Aerospace industry, Computers, Condition monitoring, Control systems, Design, Electronic systems

2 3 4 5

NARROW

A Novel Gas Path Fault Diagnostic Model for Gas Turbine Based on Explainable Convolutional Neural Network With LIME Method

Research on Fault Diagnosis of Steam Turbine Rotor Unbalance and Parallel Misalignment Based on Numerical Simulation and Convolutional Neural Network

An Efficient Prediction Method for the Azimuthal Migration of Combustion Inhomogeneity in Multi-Stage Cooled Turbines

A Feature Weighted Kernel Extreme Learning Machine Ensemble Method for Gas Turbine Fault Diagnosis

Intelligent Fault Diagnosis of Planetary Wheel Bearing Using Constrained Independent Component Analysis and Stacked Sparse Autoencoder

On the Effects of a Shaft Crack Propagation on the Dynamic Behavior of a Steam Turbine

Incipient Fault Diagnosis of the Planetary Gearbox Based on Improved Variational Mode Decomposition and Frequency-Weighted Energy Operator

Full-Annulus URANS Study of Inlet Hot-Streak Transportation in a Four-Stage Gas Turbine

A Two-Layer Multi-Model Gas Path Fault Diagnosis Method

Fault Diagnosis Method for Inter-Shaft Bearings Based on Information Exergy and Random Forest

Selecting Optimal Features for Cross-Fleet Analysis and Fault Diagnosis of Industrial Gas Turbines

A Fault Diagnosis Approach for Rolling Element Bearing Based on S-Transform and Artificial Neural Network

Design of Fault Detection System for a Heavy Duty Gas Turbine With State Observer and Tracking Filter

Fault Diagnosis of Gas Turbine Based on Complex Networks Theory

Model-Based Fault Diagnosis for Performance Degradations of Turbofan Gas Path via Optimal Robust Residuals

Design of Dynamic Tracking Filter for Model Based Diagnosis of Gas Turbine Engine

Rotating Machinery Monitoring and Fault Diagnosis With Neural Network Enhanced Fuzzy Logic Expert System

Fault Diagnosis on an Aircraft Engine Model Equipped With Self-Sensing Piezoelectric Actuators

Engine Health Monitoring for the Gas Turbines in Royal Naval Ships

A Digital Approach to Industrial Gas Turbine Control

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