C. Mechefske

发表

Dynamic characteristics of helical gears under sliding friction with spalling defect

Y. Shao, Hanjun Jiang, C. Mechefske, 2014 .

OBJECTIVE MACHINERY FAULT DIAGNOSIS USING FUZZY LOGIC

Chris K. Mechefske, C. Mechefske, 1998 .

Reducing MRI gradient coil vibration with rib stiffeners

C. Mechefske, P. O'Shea, T. Lin, 2009 .

Acoustic noise analysis and prediction in a 4‐T MRI scanner

B. Rutt, C. Mechefske, W. Li, 2004 .

A new calculation method for tooth fillet foundation stiffness of cracked spur gears

Y. Shao, C. Mechefske, Liming Wang, 2020 .

Effects of tooth plastic inclination deformation due to spatial cracks on the dynamic features of a gear system

Wennian Yu, Chris K. Mechefske, Markus Timusk, 2017 .

Transmission of vibration and energy through layered and jointed plates subjected to shock excitation

Yimin Shao, Huifang Xiao, Chris K Mechefske, 2012 .

A new efficient convergence criterion for reducing computational expense in topology optimization: reducible design variable method

Sun Yong Kim, Chris K. Mechefske, Il Yong Kim, 2012 .

Detection of Induction Motor Faults: A Comparison of Stator Current, Vibration and Acoustic Methods

C. Mechefske, Weidong Li, 2006 .

EXPERIMENTAL STUDY OF LOW-SPEED GEARBOX FAULTS USING VIBRATION AND ACOUSTIC EMISSION SIGNALS

C. Mechefske, Chen Jin, 2018 .

Model Order Selection: a Practical Approach

Chris K. Mechefske, Z. Chen, C. Mechefske, 2001 .

Train Internal Noise Due to Wheel-Rail Interaction

C. Mechefske, W. Yu, Junnan Jiang, 2018, Sustainable Civil Infrastructures.

Vibration analysis and measurement of a gradient coil insert in a 4T MRI

G. Z. Yao, B. Rutt, C. Mechefske, 2005 .

Acoustic noise simulation and measurement of a gradient insert in a 4 T MRI

G. Z. Yao, B. Rutt, C. Mechefske, 2005 .

Acoustic analysis of a gradient coil winding in an MRI scanner

Chris K. Mechefske, W. Shao, C. Mechefske, 2005 .

Analysis of an MRI gradient coil duct with a micro‐perforated panel acoustic absorber

C. Mechefske, Gemin Li, 2010 .

Experimental and Computational Methods for Investigating Automotive Door Closure Sounds

Giuseppe T. V. Garro, C. Mechefske, 2018, Volume 8: 30th Conference on Mechanical Vibration and Noise.

Design and evaluation of a novel fixture to optimally support a Lisfranc injured foot during CT scanning

K. Deluzio, C. Mechefske, Simon Jones, 2013 .

Predictive Compressor Wash Optimization for Economic Operation of Gas Turbine

C. Mechefske, Ping Ding, Houman Hanachi, 2018, Journal of Engineering for Gas Turbines and Power.

Computational Reproducibility Within Prognostics and Health Management

C. Mechefske, Tim Hahn, 2022, ArXiv.

Condition monitoring for the endurance test of automotive light assemblies

Qiao Sun, C. Mechefske, Wei Hu, 2012, The International Journal of Advanced Manufacturing Technology.

Pipe architecture optimization of the parallel Hydraulic-pneumatic hybrid system using a hydraulic transformer

Y. Shao, C. Mechefske, Xiaodong Yang, 2022, Energy Conversion and Management.

Topology optimization of a pre-stiffened aircraft bulkhead

I. Kim, C. Mechefske, Braden T Warwick, 2019, Structural and Multidisciplinary Optimization.

Hybrid data-driven physics-based model fusion framework for tool wear prediction

C. Mechefske, W. Yu, Houman Hanachi, 2018, The International Journal of Advanced Manufacturing Technology.

Machine Learning in CNC Machining: Best Practices

C. Mechefske, Tim von Hahn, 2022, Machines.

REAR AXLE GEAR DAMAGE PREDICTION USING VIBRATION SIGNAL PREPROCESSING COUPLED WITH RBF NEURAL NETWORKS

Y. Shao, C. Mechefske, Zaigang Chen, 2009 .

Nonstationary Vibration of a Fully Flexible Parallel Kinematic Machine

Fengfeng Xi, Chris K. Mechefske, Zili Zhou, 2007 .

Modeling of a Fully Flexible 3PRS Manipulator for Vibration Analysis

Chris K. Mechefske, Zili Zhou, Jeff Xi, 2006 .

A new autocorrelation-based strategy for multiple fault feature extraction from gearbox vibration signals

Qiang Liu, Chris K. Mechefske, Xiaoqin Zhou, 2020 .

Gearbox vibration monitoring using extended Kalman filters and hypothesis tests

Chris K. Mechefske, Yimin Shao, Y. Shao, 2009 .

Robust detection of gearbox deterioration using compromised autoregressive modeling and Kolmogorov–Smirnov test statistic—Part I: Compromised autoregressive modeling with the aid of hypothesis tests and simulation analysis

Yimin Zhan, Chris K. Mechefske, Y. Zhan, 2007 .

Robust detection of gearbox deterioration using compromised autoregressive modeling and Kolmogorov–Smirnov test statistic. Part II: Experiment and application

Yimin Zhan, Chris K. Mechefske, Y. Zhan, 2007 .

Automatic Machinery Fault Detection and Diagnosis Using Fuzzy Logic

Chris K. Mechefske, C. Mechefske, 1998 .

USING FUZZY LINGUISTICS TO SELECT OPTIMUM MAINTENANCE AND CONDITION MONITORING STRATEGIES

Zheng Wang, Chris K. Mechefske, Zheng Wang, 2001 .

Neuro-fuzzy based predictive model for cutting force in CNC turning process of Al–Si–Cu cast alloy using modifier elements

C. Mechefske, Saeed Farahany, Mohsen Marani, 2021, SN Applied Sciences.

Characterization of vibration and acoustic noise in a gradient-coil insert

C. K. Mechefske, G. Z. Yao, B. Rutt, 2004, Magnetic Resonance Materials in Physics, Biology and Medicine.

MRI gradient coil cylinder sound field simulation and measurement.

Yuhua Wu, Brian K Rutt, Chris K Mechefske, 2002, Journal of biomechanical engineering.

Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoder

Chris K. Mechefske, Tim Von Hahn, C. Mechefske, 2021, International Journal of Hydromechatronics.

Influence of the addendum modification on spur gear back-side mesh stiffness and dynamics

Wennian Yu, Chris K. Mechefske, Markus Timusk, 2017 .

The dynamic coupling behaviour of a cylindrical geared rotor system subjected to gear eccentricities

Wennian Yu, Chris K. Mechefske, Markus Timusk, 2017 .

Analytical modeling of spur gear corner contact effects

Wennian Yu, Chris K. Mechefske, C. Mechefske, 2016 .

A new dynamic model of a cylindrical gear pair with localized spalling defects

Wennian Yu, Chris K. Mechefske, Markus Timusk, 2018 .

The effects of spur gear tooth spatial crack propagation on gear mesh stiffness

Wennian Yu, Chris K. Mechefske, Yimin Shao, 2015 .

Topology optimization of a pre-stiffened aircraft bulkhead

Braden T. Warwick, Chris K. Mechefske, Il Yong Kim, 2019, Structural and Multidisciplinary Optimization.

Optimal damping layout in a shell structure using topology optimization

Sun Yong Kim, Sun Yong Kim, Chris K. Mechefske, 2013 .

The influence of mesh misalignment on the dynamic characteristics of helical gears including sliding friction

Hanjun Jiang, Chris K. Mechefske, Yimin Shao, 2015 .

A New Model for the Single Mesh Stiffness Calculation of Helical Gears Using the Slicing Principle

C. K. Mechefske, C. Mechefske, W. Yu, 2019 .

The influence of mesh misalignment on the dynamic characteristics of helical gears including sliding friction

Y. Shao, Hanjun Jiang, C. Mechefske, 2015, Journal of Mechanical Science and Technology.

Wennian Yu, Chris K. Mechefske, Ii Yong Kim, 2020, Reliab. Eng. Syst. Saf..

Induction motor fault detection using vibration and stator current methods

Chris K. Mechefske, Weidong Li, C. Mechefske, 2004 .

Artificial neural network based fault diagnostics for three phase induction motors under similar operating conditions

Abhisar Chouhan, Purushottam Gangsar, Rajkumar Porwal, 2020 .

Identifying optimal features for cutting tool condition monitoring using recurrent neural networks

I. Kim, C. Mechefske, Wennian Yu, 2020, Advances in Mechanical Engineering.

Hybrid data-driven physics-based model fusion framework for tool wear prediction

Wennian Yu, Chris K. Mechefske, Houman Hanachi, 2018, The International Journal of Advanced Manufacturing Technology.

Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling

Chris K. Mechefske, Victor Songmene, Mohsen Marani, 2021 .

Prediction of cutting tool wear during a turning process using artificial intelligence techniques

Victor Songmene, Chris K. Mechefske, Mohsen Marani, 2020, The International Journal of Advanced Manufacturing Technology.

Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

Wennian Yu, Chris K. Mechefske, Ii Yong Kim, 2019, Mechanical Systems and Signal Processing.

Adaptive variational mode decomposition and its application to multi-fault detection using mechanical vibration signals.

Xiaoqin Zhou, Wennian Yu, Xiuzhi He, 2020, ISA transactions.

Experimental investigation of reflection in guided wave-based inspection for the characterization of pipeline defects

Peter W. Tse, Chris K. Mechefske, Xiaojuan Wang, 2010 .

Performance-Based Gas Turbine Health Monitoring, Diagnostics, and Prognostics: A Survey

Ying Chen, Jie Liu, Avisekh Banerjee, 2018, IEEE Transactions on Reliability.

Analyses of radiation impedances of finite cylindrical ducts

C. Mechefske, W. Shao, 2005 .

Damping of Powder Metal Rings

I. Kim, C. Mechefske, Braden T Warwick, 2020 .

Acoustic noise reduction in a 4 T MRI scanner

Joseph S. Gati, Chris K. Mechefske, Ryan Geris, 2001, Magnetic Resonance Materials in Physics, Biology and Medicine.

Fault detection using transient machine signals

Michael G. Lipsett, Chris K. Mechefske, Markus Timusk, 2008 .

A nonlinear-drift-driven Wiener process model for remaining useful life estimation considering three sources of variability

Il Yong Kim, Wennian Yu, Wenbing Tu, 2021, Reliab. Eng. Syst. Saf..

A study of vibration and vibration control of ship structures

Jie Pan, Chris K. Mechefske, Peter J. O'Shea, 2009 .

An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation

Chris K. Mechefske, Wennian Yu, Yimin Shao, 2022, Reliab. Eng. Syst. Saf..

Fault detection and diagnosis in low speed rolling element bearings Part I: The use of parametric spectra

Chris K. Mechefske, J. Mathew, C. Mechefske, 1992 .

Impulse detection using a shift-invariant dictionary and multiple compressions

Huibin Lin, Chris K. Mechefske, Jianmeng Tang, 2019, Journal of Sound and Vibration.

A comprehensive experimental study of micro-perforated panel acoustic absorbers in MRI scanners

Chris K. Mechefske, Gemin Li, C. Mechefske, 2010, Magnetic Resonance Materials in Physics, Biology and Medicine.

Condition-Based Monitoring in Variable Machine Running Conditions Using Low-Level Knowledge Transfer With DNN

Nishchal K. Verma, Vikas Singh, Chris K. Mechefske, 2021, IEEE Transactions on Automation Science and Engineering.

Design, modeling and testing of a unidirectional MEMS ring thermal actuator

Ted Hubbard, Chris K. Mechefske, Marek Kujath, 2008 .

Prediction and Analysis of Structural Noise from a U-beam Using the FE-SEA Hybrid Method

Wennian Yu, Chris K. Mechefske, Wenjun Luo, 2018, PROMET - Traffic&Transportation.

Adaptive feature mode decomposition: a fault-oriented vibration signal decomposition method for identification of multiple localized faults in rotating machinery

Xiaoping Zhou, C. Mechefske, Rongqi Wang, 2023, Nonlinear Dynamics.

Structural–acoustic modal analysis of cylindrical shells: application to MRI scanner systems

Chris K. Mechefske, C. Mechefske, Gemin Li, 2009, Magnetic Resonance Materials in Physics, Biology and Medicine.

Knowledge Informed Machine Learning using a Weibull-based Loss Function pdf

Chris K Mechefske, Tim von Hahn, C. Mechefske, 2022, Journal of Prognostics and Health Management.

Hybrid sequential fault estimation for multi-mode diagnosis of gas turbine engines

Chris K. Mechefske, Jie Liu, Il Yong Kim, 2019, Mechanical Systems and Signal Processing.

Characteristic recognition of chatter mark vibration in a rolling mill based on the non-dimensional parameters of the vibration signal

Chris K. Mechefske, Yilin Yuan, Yimin Shao, 2014 .

Power distribution method for a parallel hydraulic-pneumatic hybrid system using a piecewise function

Chris K. Mechefske, Min Cheng, Liming Wang, 2021 .

An analytical study of the plasticity of sandwich honeycomb panels subjected to low-velocity impact

I. Kim, C. Mechefske, D. Wowk, 2019, Composites Part B: Engineering.

Effect of Bulkhead Pressurization on the Vibro-Acoustic Properties of an Aft-Fuselage-Mounted Twin-Engine Aircraft

Chris K. Mechefske, Braden T. Warwick, Il Yong Kim, 2020, Journal of Vibration and Acoustics.

Vibration analysis and testing of a thin-walled gradient coil model

Chris K. Mechefske, Fenglin Wang, C. Mechefske, 2008 .

Modal analysis of a multilayered gradient coil insert in a 4-T MRI scanner

Chris K. Mechefske, Fenglin Wang, C. Mechefske, 2007 .

Theoretical, numerical, and experimental modal analysis of a single-winding gradient coil insert cylinder

C. Mechefske, Fenglin Wang, 2006, Magnetic Resonance Materials in Physics, Biology and Medicine.

Motor Current-Based Degradation Modeling for Tool Wear Hybrid Prognostics in Turning Process

C. Mechefske, Atefeh Gavahian, 2023, Machines.

An analytical model to investigate skidding in rolling element bearings during acceleration

Chris K. Mechefske, Yimin Shao, Wenbing Tu, 2012 .

An analytical model to investigate skidding in rolling element bearings during acceleration

Y. Shao, C. Mechefske, W. Tu, 2012, Journal of Mechanical Science and Technology.

Substructuring verification of a rear fuselage mounted twin-engine aircraft

Chris K. Mechefske, Braden T. Warwick, Il Yong Kim, 2019, Aerospace Science and Technology.

Detecting and Diagnosing Faults in Variable Speed Machines

Chris K. Mechefske, L. Liu, C. Mechefske, 2001 .

Damage Assessment on the Surface and Honeycomb Core of the Aluminum Sandwich Panel Subjected to Low-Velocity Impact

I. Kim, C. Mechefske, P. Kendall, 2018, Volume 6: 14th International Conference on Multibody Systems, Nonlinear Dynamics, and Control.

Experimental investigation of adhesive fillet size on barely visible impact damage in metallic honeycomb sandwich panels

I. Kim, C. Mechefske, P. Kendall, 2020 .

Fault detection and diagnosis in low speed rolling element bearings Part II: The use of nearest neighbour classification

Chris K. Mechefske, J. Mathew, C. Mechefske, 1992 .

Diagnosis of Machinery Fault Status using Transient Vibration Signal Parameters

Chris K. Mechefske, Zhidong Chen, C. Mechefske, 2002 .

Analysis of different RNN autoencoder variants for time series classification and machine prognostics

Wennian Yu, Chris K. Mechefske, Il Yong Kim, 2021 .

Artificial neural network–based fault diagnosis for induction motors under similar, interpolated and extrapolated operating conditions

C. Mechefske, R. Porwal, Purushottam Gangsar, 2021, Noise & Vibration Worldwide.

Multi-Objective Model Updating Optimization Considering Orthogonality

Braden T. Warwick, Chris K. Mechefske, Il Yong Kim, 2019, Journal of Computational and Nonlinear Dynamics.

Adaptive modelling of transient vibration signals

Chris K. Mechefske, Fenglin Wang, C. Mechefske, 2006 .

ALUMNI/AE SURVEYS AS TOOLS FOR DIRECTING CHANGE IN ENGINEERING CURRICULUM

Urs P. Wyss, Brian Surgenor, Chris K. Mechefske, 2011 .

Modal analysis and testing of a thin‐walled gradient coil cylinder model

Chris K. Mechefske, Fenglin Wang, C. Mechefske, 2005 .

CHARACTERIZATION OF ACOUSTIC NOISE AND MAGNETIC FIELD FLUCTUATIONS IN A 4 T WHOLE-BODY MRI SCANNER

Chris K. Mechefske, Brian K. Rutt, Yuhua Wu, 2002 .

Position prediction and error compensation for a large thin-walled box-shaped workpiece in a fixture

Chris K. Mechefske, Liming Wang, Yimin Shao, 2021, The International Journal of Advanced Manufacturing Technology.

Gradient‐induced acoustic and magnetic field fluctuations in a 4T whole‐body MR imager

C K Mechefske, B K Rutt, B. Rutt, 2000, Magnetic resonance in medicine.

Relationship between chatter marks and rolling force fluctuation for twenty-high roll mill

Chris K. Mechefske, Yilin Yuan, Liming Wang, 2015 .