Search Results - "Chris, Mechefske"

Adaptive variational mode decomposition and its application to multi-fault detection using mechanical vibration signals by He, Xiuzhi, Zhou, Xiaoqin, Yu, Wennian, Hou, Yixuan, Mechefske, Chris K.

“…Vibration-based feature extraction of multiple transient fault signals is a challenge in the field of rotating machinery fault diagnosis. Variational mode…”
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Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling by Marani, Mohsen, Zeinali, Mohammadjavad, Songmene, Victor, Mechefske, Chris K.

“…•The LSTM model shows its capability to capture tool flank wear in machining process.•The most accurate LSTM model contained two layers and eight hidden…”
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Influence of the addendum modification on spur gear back-side mesh stiffness and dynamics by Yu, Wennian, Mechefske, Chris K., Timusk, Markus

“…This paper analytically investigates the relationship between the drive-side and back-side mesh stiffness for spur gear pairs with various addendum…”
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A new dynamic model of a cylindrical gear pair with localized spalling defects by Yu, Wennian, Mechefske, Chris K., Timusk, Markus

“…Accurate assessment and modeling of the effects of tooth defects on the vibration response of gear systems is beneficial for the early detection and diagnosis…”
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The effects of spur gear tooth spatial crack propagation on gear mesh stiffness by Yu, Wennian, Shao, Yimin, Mechefske, Chris K.

“…•The equations to calculate the gear mesh stiffness with a spatial crack were derived.•The effect of some gear design parameters and initial crack position on…”
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Hybrid data-driven physics-based model fusion framework for tool wear prediction by Hanachi, Houman, Yu, Wennian, Kim, Il Yong, Liu, Jie, Mechefske, Chris K.

“…An integral part of modern manufacturing process management is to acquire useful information from machining processes to monitor machine and tool condition…”
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Dynamic characteristics of helical gears under sliding friction with spalling defect by Jiang, Hanjun, Shao, Yimin, Mechefske, Chris K.

“…•Modified formulations for the time-varying frictional excitation in helical gears with spalling defect are developed.•An analytical method is proposed to…”
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Effects of tooth plastic inclination deformation due to spatial cracks on the dynamic features of a gear system by Yu, Wennian, Mechefske, Chris K., Timusk, Markus

“…Spatial cracks may occur in the gear tooth fillet region due to the presence of non-uniform load distribution, local non-homogeneity of material quality, and…”
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A new dynamic boring force calculation method using the analytical model of time-varying toolpath and chip fracture by Du, Weitao, Wang, Liming, Peng, Dingqiang, Shao, Yimin, Mechefske, Chris K

“…The accurate prediction of dynamic cutting force has great significance for the quality control of the boring process for deep-cavity thin-walled parts…”
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Power distribution method for a parallel hydraulic-pneumatic hybrid system using a piecewise function by Nie, Chunhui, Shao, Yimin, Mechefske, Chris K., Cheng, Min, Wang, Liming

“…The Benedict-Webb-Rubin model or the ideal gas equation of state alone cannot accurately describe the load model of a parallel hydraulic-pneumatic hybrid…”
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Adaptive feature mode decomposition: a fault-oriented vibration signal decomposition method for identification of multiple localized faults in rotating machinery by He, Xiuzhi, Zhou, Xiaoqin, Li, Jieli, Mechefske, Chris K., Wang, Rongqi, Yao, Guofeng, Liu, Qiang

“…Identification of multiple mechanical faults from vibration signals has always been one of the most challenging tasks in the field of condition monitoring and…”
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A new autocorrelation-based strategy for multiple fault feature extraction from gearbox vibration signals by He, Xiuzhi, Liu, Qiang, Yu, Wennian, Mechefske, Chris K., Zhou, Xiaoqin

“…•The LEASgram method is proposed for multi-fault detection from gearbox signals.•The cyclic feature index is developed to evaluate faulty impulses of a…”
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Pair-wise Orthogonal Classifier Based Domain Adaptation Network for Fault Diagnosis in Rotating Machinery by Chen, Zixu, Yu, Wennian, Ding, Xiaoxi, Shao, Yimin, Mechefske, Chris K.

“…Although machine learning methods have demonstrated their effectiveness in fault diagnosis in rotating machinery, there is a major assumption that the training…”
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Hybrid sequential fault estimation for multi-mode diagnosis of gas turbine engines by Hanachi, Houman, Liu, Jie, Kim, Il Yong, Mechefske, Chris K.

“…•A hybrid data-model fusion framework is developed for better diagnostic accuracy.•The gas data with multiple faults are used to validate the proposed…”
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Optimal damping layout in a shell structure using topology optimization by Kim, Sun Yong, Mechefske, Chris K., Kim, Il Yong

“…Viscoelastic damping material attached on the surface of a structure is widely used to suppress the resonance vibration in aerospace, automobiles, and various…”
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Condition-Based Monitoring in Variable Machine Running Conditions Using Low-Level Knowledge Transfer With DNN by Maurya, Seetaram, Singh, Vikas, Verma, Nishchal K., Mechefske, Chris K.

“…Traditional machine learning methods assume that training and testing data must be from the same machine running condition (MRC) and drawn from the same…”
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Optimization of the number of paddy field blades by modeling the mass and power consumption of dynamic splashes by Ren, Jinbo, Du, Weitao, Peng, Dingqiang, Zou, Desheng, Shao, Yimin, Mechefske, Chris K

“…•The optimum number of blades for a rice sprout transplanter was determined.•A relationship between the number of blades and mud splashing efficiency was…”
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Position prediction and error compensation for a large thin-walled box-shaped workpiece in a fixture by Peng, Dingqiang, Wang, Liming, Mechefske, Chris K., Shao, Yimin

“…The final machining quality will be adversely affected when the workpiece position held in a fixture is not consistent with the expected position. Predicting…”
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Prediction of cutting tool wear during a turning process using artificial intelligence techniques by Marani, Mohsen, Zeinali, Mohammadjavad, Kouam, Jules, Songmene, Victor, Mechefske, Chris K.

“…In the manufacturing industry, cutting tool failure is a serious event which causes damage to the cutting tool and reduces the quality of the product, which…”
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Speed estimation in planetary gearboxes: A method for reducing impulsive noise by Peng, Dikang, Smith, Wade A., Randall, Robert B., Peng, Zhongxiao, Mechefske, Chris K.

“…•Source of impulsive noise in IAS estimates of planetary gearboxes explained.•Systematic errors identified in IAS estimates of sequentially phased…”
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