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Proceedings Papers

Multi-Spindle Drilling Process Condition Monitoring and Fault Diagnosis

S. Gu, J. Ni
Proc. ASME. IMECE96, Manufacturing Science and Engineering, 555-562, November 17–22, 1996
Paper No: IMECE1996-0826
https://doi.org/10.1115/IMECE1996-0826
View Paper titled, Multi-Spindle Drilling Process Condition Monitoring and Fault Diagnosis
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Topics: Condition monitoring, Drilling, Fault diagnosis, Drills (Tools), Process monitoring, Wear, Engines, Force sensors, Manufacturing, Sensors
Proceedings Papers

Fault Diagnosability Enhancement Through Sensor Optimization in Multi-Fixture Assembly Systems

Ashraf Khan, Dariusz Ceglarek, Jun Ni
Proc. ASME. IMECE96, Manufacturing Science and Engineering, 473-485, November 17–22, 1996
Paper No: IMECE1996-0818
https://doi.org/10.1115/IMECE1996-0818
View Paper titled, Fault Diagnosability Enhancement Through Sensor Optimization in Multi-Fixture Assembly Systems
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Topics: Manufacturing, Optimization, Sensors, Computer-aided design, Fault diagnosis, Sheet metal
Proceedings Papers

Development and Validation of a Diagnosis Method for Diesel Engines

D. A. Kouremenos, C. D. Rakopoulos, D. T. Hountalas
Proc. ASME. IMECE96, Advanced Energy Systems, 527-539, November 17–22, 1996
Paper No: IMECE1996-0312
https://doi.org/10.1115/IMECE1996-0312
View Paper titled, Development and Validation of a Diagnosis Method for Diesel Engines
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Topics: Diesel engines, Engines, Engineers, Fault diagnosis, Maintenance, Energy generation, Engine cylinders, Exhaust systems, Flaw detection, Fuels
Proceedings Papers

Nonlinear Mapping Lyapunov Exponents-Based KNN Analysis for Fault Classification

Md Saifuddin Ahmed Atique, Cai Xia Yang
Proc. ASME. IMECE2022, Volume 5: Dynamics, Vibration, and Control, V005T07A061, October 30–November 3, 2022
Paper No: IMECE2022-95739
https://doi.org/10.1115/IMECE2022-95739
View Paper titled, Nonlinear Mapping Lyapunov Exponents-Based KNN Analysis for Fault Classification
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Topics: Damage, Downtime, Failure, Fault diagnosis, Feature selection, Flaw detection, Large eddy simulation, Machine components, Machinery, Testing
Proceedings Papers

A Comprehensive Assessment of Gearbox Tooth Faults Based on Dynamic Modelling and Machine Learning

Vikash Kumar, Subrata Mukherjee, Sanjeev Kumar, Somnath Sarangi
Proc. ASME. IMECE2022, Volume 5: Dynamics, Vibration, and Control, V005T07A060, October 30–November 3, 2022
Paper No: IMECE2022-95672
https://doi.org/10.1115/IMECE2022-95672
View Paper titled, A Comprehensive Assessment of Gearbox Tooth Faults Based on Dynamic Modelling and Machine Learning
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Topics: Dynamic modeling, Fault diagnosis, Machine learning, Mechanical drives, Signals
Proceedings Papers

Enhanced Fault Detection of Vehicle Lateral Dynamics Using a Dynamically Adjustable Bayesian Network Structure and Extented Kalman Filter

Tolga Bodrumlu, Mehmet Murat Gözüm, Batıkan Kavak
Proc. ASME. IMECE2022, Volume 9: Mechanics of Solids, Structures, and Fluids; Micro- and Nano-Systems Engineering and Packaging; Safety Engineering, Risk, and Reliability Analysis; Research Posters, V009T14A024, October 30–November 3, 2022
Paper No: IMECE2022-94176
https://doi.org/10.1115/IMECE2022-94176
View Paper titled, Enhanced Fault Detection of Vehicle Lateral Dynamics Using a Dynamically Adjustable Bayesian Network Structure and Extented Kalman Filter
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Topics: Dynamics (Mechanics), Flaw detection, Kalman filters, Vehicles, Algorithms, Safety, Aircraft, Automobiles, Chemical plants, Computer simulation
Proceedings Papers

Recurrent Neural Networks for Fault Diagnosis and Severity Assessment of a Screw Compressor

C. James Li, Yimin Fan
Proc. ASME. IMECE97, Dynamic Systems and Control, 257-264, November 16–21, 1997
Paper No: IMECE1997-0404
https://doi.org/10.1115/IMECE1997-0404
View Paper titled, Recurrent Neural Networks for Fault Diagnosis and Severity Assessment of a Screw Compressor
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Topics: Artificial neural networks, Compressors, Fault diagnosis, Screws, Feedforward control, Friction, Neural network models, Wear
Proceedings Papers

Machine Fault Diagnosis Through a Recursive Optimal Pairwise Linear Discriminant Function Method

Shuxin Gu, Jun Ni, Jingxia Yuan, Jay Lee
Proc. ASME. IMECE98, Manufacturing Science and Engineering, 547-554, November 15–20, 1998
Paper No: IMECE1998-1068
https://doi.org/10.1115/IMECE1998-1068
View Paper titled, Machine Fault Diagnosis Through a Recursive Optimal Pairwise Linear Discriminant Function Method
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Topics: Fault diagnosis, Machinery, Pattern recognition, Artificial neural networks, Failure, Feedforward control
Proceedings Papers

Dimensional Fault Diagnosis for Compliant Beam Structure Assemblies

Q. Rong, D. Ceglarek, J. Shi
Proc. ASME. IMECE98, Manufacturing Science and Engineering, 93-101, November 15–20, 1998
Paper No: IMECE1998-1019
https://doi.org/10.1115/IMECE1998-1019
View Paper titled, Dimensional Fault Diagnosis for Compliant Beam Structure Assemblies
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Topics: Fault diagnosis, Manufacturing, Aerospace industry, Engineering simulation, Errors, Pattern recognition, Principal component analysis, Simulation, Stiffness
Proceedings Papers

Fault Diagnosing of Large Rotating Machinery Using Evolutionary Spectrum

Minping Jia, R. Du
Proc. ASME. IMECE98, Manufacturing Science and Engineering, 103-111, November 15–20, 1998
Paper No: IMECE1998-1020
https://doi.org/10.1115/IMECE1998-1020
View Paper titled, Fault Diagnosing of Large Rotating Machinery Using Evolutionary Spectrum
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Topics: Machinery, Emission spectroscopy, Fault diagnosis, Rotors, Signals, Spectroscopy, Computer simulation, Stiffness, Vibration, Wavelet transforms
Proceedings Papers

Distributed Sensor Optimization for Fault Diagnosis in Multi-Fixture Assembly Systems

Ashraf Khan, Dariusz Ceglarek
Proc. ASME. IMECE98, Manufacturing Science and Engineering, 315-324, November 15–20, 1998
Paper No: IMECE1998-1042
https://doi.org/10.1115/IMECE1998-1042
View Paper titled, Distributed Sensor Optimization for Fault Diagnosis in Multi-Fixture Assembly Systems
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Topics: Fault diagnosis, Manufacturing, Optimization, Sensors, Computer-aided design, Sheet metal, System architecture
Proceedings Papers

Diagnosability and Measurement Configurations for Automotive Body Assembly

Yufeng Long, S. Jack Hu
Proc. ASME. IMECE98, Manufacturing Science and Engineering, 305-313, November 15–20, 1998
Paper No: IMECE1998-1041
https://doi.org/10.1115/IMECE1998-1041
View Paper titled, Diagnosability and Measurement Configurations for Automotive Body Assembly
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Topics: Manufacturing, Design, Automobiles, Complex systems, Doors, Fault diagnosis, Machinery, Measurement systems, Sheet metal
Proceedings Papers

Fault Diagnosis With Deep Learning for Standard and Asymmetric Involute Spur Gears

Fatih Karpat, Ahmet Emir Dirik, Onur Can Kalay, Celalettin Yüce, Oğuz Doğan, Burak Korcuklu
Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A029, November 1–5, 2021
Paper No: IMECE2021-73702
https://doi.org/10.1115/IMECE2021-73702
View Paper titled, Fault Diagnosis With Deep Learning for Standard and Asymmetric Involute Spur Gears
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Topics: Fault diagnosis, Gears, Spur gears
Proceedings Papers

An Empirical Study of Machine Learning and Deep Learning Algorithms on Bearing Fault Diagnosis Benchmarks

Behnoush Rezaeianjouybari, Yi Shang
Proc. ASME. IMECE2021, Volume 7A: Dynamics, Vibration, and Control, V07AT07A050, November 1–5, 2021
Paper No: IMECE2021-69994
https://doi.org/10.1115/IMECE2021-69994
View Paper titled, An Empirical Study of Machine Learning and Deep Learning Algorithms on Bearing Fault Diagnosis Benchmarks
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Topics: Algorithms, Bearings, Fault diagnosis, Machine learning
Proceedings Papers

Spindle Bearings Fault Diagnosis Technique Based on Integration of Zero Resonator Frequency Filter and Discrete Wavelet Packet Transform

Avitus Titus Mwelinde, Hongyu Jin, Jamal Banzi, Hongya Fu, Zhenyu Han
Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A004, November 1–5, 2021
Paper No: IMECE2021-73194
https://doi.org/10.1115/IMECE2021-73194
View Paper titled, Spindle Bearings Fault Diagnosis Technique Based on Integration of Zero Resonator Frequency Filter and Discrete Wavelet Packet Transform
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Topics: Bearings, Fault diagnosis, Filters, Flaw detection, Wavelets
Proceedings Papers

Diagnosis of Multiple Simultaneous Faults in Manufacturing Systems

Wei Li, S. Jack Hu, Jun Ni
Proc. ASME. IMECE99, Manufacturing Science and Engineering, 581-588, November 14–19, 1999
Paper No: IMECE1999-0718
https://doi.org/10.1115/IMECE1999-0718
View Paper titled, Diagnosis of Multiple Simultaneous Faults in Manufacturing Systems
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Topics: Manufacturing systems, Fault diagnosis, Modeling, Simulation, Welding
Proceedings Papers

Multiple Fault Diagnosis as Applied to Automated Vehicle Control

Adam S. Howell, J. Karl Hedrick
Proc. ASME. IMECE99, Dynamic Systems and Control, 615-621, November 14–19, 1999
Paper No: IMECE1999-0083
https://doi.org/10.1115/IMECE1999-0083
View Paper titled, Multiple Fault Diagnosis as Applied to Automated Vehicle Control
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Topics: Autonomous vehicles, Fault diagnosis, Control systems, Fuzzy logic
Proceedings Papers

Fault Diagnosis of an Internal Combustion Engine With Embedded Radial Basis Function Modules

Chengyu Gan, Kourosh Danai, Giorgio Rizzoni
Proc. ASME. IMECE2000, Dynamic Systems and Control: Volume 1, 399-406, November 5–10, 2000
Paper No: IMECE2000-2328
https://doi.org/10.1115/IMECE2000-2328
View Paper titled, Fault Diagnosis of an Internal Combustion Engine With Embedded Radial Basis Function Modules
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Topics: Fault diagnosis, Internal combustion engines, Automotive engines, Kalman filters, Modeling, Sensors, State estimation
Proceedings Papers

Fault Diagnosis With a Model-Based Recurrent Neural Network

Chengyu Gan, Kourosh Danai
Proc. ASME. IMECE2000, Dynamic Systems and Control: Volume 1, 391-397, November 5–10, 2000
Paper No: IMECE2000-2327
https://doi.org/10.1115/IMECE2000-2327
View Paper titled, Fault Diagnosis With a Model-Based Recurrent Neural Network
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Topics: Artificial neural networks, Fault diagnosis, Generators, Flaw detection
Proceedings Papers

Bayesian Belief Network Modeling and Diagnosis of Xerographic Systems

Chunhui Zhong, Perry Y. Li
Proc. ASME. IMECE2000, Dynamic Systems and Control: Volume 1, 195-202, November 5–10, 2000
Paper No: IMECE2000-2302
https://doi.org/10.1115/IMECE2000-2302
View Paper titled, Bayesian Belief Network Modeling and Diagnosis of Xerographic Systems
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Topics: Modeling, Printing, Computer software, Entropy, Fault diagnosis, Physics, Statistical distributions