Knowledge Incorporation for Machine Learning in Condition Monitoring: A Survey

2021 International Symposium on Electrical, Electronics and Information Engineering ◽

10.1145/3459104.3459144 ◽

2021 ◽

Author(s):

Elias Jan Hagendorfer

Keyword(s):

Machine Learning ◽

Condition Monitoring ◽

Knowledge Incorporation

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Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning

Journal of Manufacturing Processes ◽

10.1016/j.jmapro.2020.12.050 ◽

2021 ◽

Vol 62 ◽

pp. 806-816

Author(s):

Qasim Nazir ◽

Chenhui Shao

Keyword(s):

Machine Learning ◽

Sensor Fusion ◽

Condition Monitoring ◽

Tool Condition Monitoring ◽

Online Tool ◽

Ultrasonic Metal Welding ◽

Tool Condition ◽

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A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines

Computers in Industry ◽

10.1016/j.compind.2020.103380 ◽

2021 ◽

Vol 125 ◽

pp. 103380

Author(s):

Sebastian Schwendemann ◽

Zubair Amjad ◽

Axel Sikora

Keyword(s):

Machine Learning ◽

Condition Monitoring ◽

Predictive Maintenance ◽

Machine Learning Techniques ◽

Learning Techniques ◽

Grinding Machines

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Application of Machine Learning and Vision for real-time condition monitoring and acceleration of product development cycles

Procedia Manufacturing ◽

10.1016/j.promfg.2020.11.012 ◽

2020 ◽

Vol 52 ◽

pp. 61-66

Author(s):

Wjatscheslav Baumung ◽

Viktor Baumung

Keyword(s):

Machine Learning ◽

Product Development ◽

Real Time ◽

Condition Monitoring ◽

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Condition Monitoring of Industrial Motors using Machine Learning Classifiers

SSRN Electronic Journal ◽

10.2139/ssrn.3769834 ◽

2021 ◽

Author(s):

Vijayalakshmi S ◽

Karthikha R ◽

Paramasivam A ◽

Bhaskar K. B.

Keyword(s):

Machine Learning ◽

Condition Monitoring ◽

Machine Learning Classifiers ◽

Learning Classifiers

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Development of Real-time Condition Monitoring System Based on Machine Learning for Winch Equipment of Floating Crane

Korean Journal of Computational Design and Engineering ◽

10.7315/cde.2020.445 ◽

2020 ◽

Vol 25 (4) ◽

pp. 445-454

Author(s):

Se-Yun Hwang ◽

Jang-Hyun Lee ◽

Kwang-Sik Kim ◽

Jae-Won Oh ◽

Cheon-Hong Min

Keyword(s):

Machine Learning ◽

Real Time ◽

Monitoring System ◽

Condition Monitoring ◽

Time Condition ◽

Floating Crane ◽

Condition Monitoring System

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Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach

Lecture Notes in Mechanical Engineering - Advances in Dynamics of Vehicles on Roads and Tracks ◽

10.1007/978-3-030-38077-9_14 ◽

2020 ◽

pp. 119-127

Author(s):

Henrik Karlsson ◽

Alireza Qazizadeh ◽

Sebastian Stichel ◽

Mats Berg

Keyword(s):

Machine Learning ◽

Condition Monitoring ◽

Vehicle Suspension ◽

Learning Approach ◽

Rail Vehicle ◽

Machine Learning Approach

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Condition monitoring of FSW tool using vibration analysis – A machine learning approach

Materials Today Proceedings ◽

10.1016/j.matpr.2020.04.903 ◽

2020 ◽

Vol 27 ◽

pp. 2970-2974

Author(s):

K. Balachandar ◽

R. Jegadeeshwaran ◽

D. Gandhikumar

Keyword(s):

Machine Learning ◽

Condition Monitoring ◽

Vibration Analysis ◽

Learning Approach ◽

Machine Learning Approach

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Image processing and machine learning applied for condition monitoring of 11-kV power distribution line insulators using curvelet and LTP features

2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) ◽

10.1109/icpcsi.2017.8392278 ◽

2017 ◽

Author(s):

Surya Prasad Potnuru ◽

Prabhakara Rao Bhima

Keyword(s):

Machine Learning ◽

Image Processing ◽

Condition Monitoring ◽

Power Distribution ◽

Distribution Line

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Intelligent Condition Monitoring of a CI Engine Using Machine Learning and Artificial Neural Networks

Machine Intelligence and Signal Processing - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-15-1366-4_16 ◽

2020 ◽

pp. 201-214

Author(s):

P. Naveen Kumar ◽

S. R. Jeeva Karunya ◽

G. Sakthivel ◽

R. Jegadeeshwaran

Keyword(s):

Machine Learning ◽

Neural Networks ◽

Artificial Neural Networks ◽

Condition Monitoring ◽

Ci Engine ◽

Artificial Neural

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Machine Learning Approach to Condition Monitoring of an Automotive Radiator Cooling Fan System

Lecture Notes in Electrical Engineering - Advances in Electrical and Computer Technologies ◽

10.1007/978-981-15-5558-9_85 ◽

2020 ◽

pp. 1007-1020

Author(s):

R. Meena ◽

Binoy B. Nair ◽

N. R. Sakthivel

Keyword(s):

Machine Learning ◽

Condition Monitoring ◽

Learning Approach ◽

Cooling Fan ◽

Machine Learning Approach

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