Results 261 to 270 of about 1,838,834 (287)

Intelligent tool wear monitoring and multi-step prediction based on deep learning model

Journal of Manufacturing Systems, 2022
Pei Yan, Minghui Cheng, Tianyang Qiu
exaly  

Wear prediction and control

Tribology, 1972
openaire   +1 more source

Physics guided neural network for machining tool wear prediction

Journal of Manufacturing Systems, 2020
Jinjiang Wang, Robert Gao
exaly  

Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process

Mechanical Systems and Signal Processing, 2022
Zhongxiao Peng, Wade Smith, Hongkun Wu   +2 more
exaly  

Prediction of the impact wear of a valve

2016
The valves used in the oil&gas industry often experience erosion due to the impingements of solids dragged by the extracted fluid. The considerable economic damages related to this phenomenon enhance the interest in techniques for predicting the location of the erosion hotsposts and the loss of material from the valve under aggressive flow conditions ...
MESSA, GIANANDREA VITTORIO, MALAVASI, STEFANO   +1 more
openaire   +1 more source

WEAR STATE PREDICTION METHOD, WEAR STATE PREDICTION DEVICE, AND WEAR STATE PREDICTION PROGRAM

2023
openaire   +1 more source

Gaussian process regression for tool wear prediction

Mechanical Systems and Signal Processing, 2018
Yongjie Chen, Ning Li, Dongdong Kong
exaly  

Tool wear prediction method based on symmetrized dot pattern and multi-covariance Gaussian process regression

Measurement: Journal of the International Measurement Confederation, 2022
exaly  

A patient-specific wear prediction framework for an artificial knee joint with coupled musculoskeletal multibody-dynamics and finite element analysis

Tribology International, 2017
Zhenxian Chen, Dichen Li
exaly  

Tyre and road wear prediction

2003
Both tyre wear and road polishing are complex phenomenon, which are obviously strongly related; the energy that polishes the road is the energy that wears the tyre. The both depend non-linearly on numerous parameters, like materials used, vehicle and road usage, environmental conditions (i.e. temperature) and many others.
openaire   +1 more source