Maintenance, Reliability and Condition Monitoring
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 6)

H-INDEX

(FIVE YEARS 0)

Published By JVE International Ltd.

2669-2961

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Classification of a cracked-rotor system during start-up using Deep learning based on convolutional neural networks

Maintenance, Reliability and Condition Monitoring ◽

10.21595/marc.2021.22030 ◽

2021 ◽

Author(s):

Nima Rezazadeh ◽

Mohammad-Reza Ashory ◽

Shila Fallahy

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Convolutional Neural Networks ◽

Rotor System ◽

Cracked Rotor ◽

Start Up ◽

Cracked Rotor System

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A numerical study of rotor eccentricity and dynamic load in induction machines for motor current analysis based diagnostics

Maintenance, Reliability and Condition Monitoring ◽

10.21595/mrcm.2021.22145 ◽

2021 ◽

Author(s):

Fengshou Gu ◽

Haiyang Li ◽

Zhexiang Zou ◽

Xiuquan Sun ◽

Andrew D. Ball

Keyword(s):

Dynamic Load ◽

Numerical Study ◽

Induction Machines ◽

Current Analysis ◽

Motor Current ◽

Rotor Eccentricity

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Crack identification for bridge condition monitoring using deep convolutional networks trained with a feedback-update strategy

Maintenance, Reliability and Condition Monitoring ◽

10.21595/mrcm.2021.22032 ◽

2021 ◽

Author(s):

Jiadong Hua ◽

Tong Tong ◽

Jing Lin ◽

Fei Gao ◽

Han Zhang

Keyword(s):

Condition Monitoring ◽

Crack Identification ◽

Convolutional Networks ◽

Update Strategy

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Impact of climate change on railway operation and maintenance in Sweden: A State-of-the-art review

Maintenance, Reliability and Condition Monitoring ◽

10.21595/mrcm.2021.22136 ◽

2021 ◽

Author(s):

Adithya Thaduri ◽

Amir Garmabaki ◽

Uday Kumar

Keyword(s):

Climate Change ◽

State Of The Art ◽

Impact Of Climate Change ◽

Operation And Maintenance ◽

Railway Operation

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Robust vibration-based faults diagnosis machine learning model for rotating machines to enhance plant reliability

Maintenance, Reliability and Condition Monitoring ◽

10.21595/mrcm.2021.22110 ◽

2021 ◽

Vol 1 (1) ◽

pp. 1-8

Author(s):

Natalia F. Espinoza-Sepulveda ◽

Jyoti K. Sinha

Keyword(s):

Machine Learning ◽

Learning Model ◽

Rotating Machines ◽

Machine Learning Model ◽

Faults Diagnosis

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PM4 SMP model proposed for system reliability criticality assessment and maintainability improvement

Maintenance, Reliability and Condition Monitoring ◽

10.21595/mrcm.2021.22111 ◽

2021 ◽

Vol 1 (1) ◽

pp. 9-24

Author(s):

Ogechukwu Akaeje ◽

Martin Billington ◽

Jyoti Sinha

Keyword(s):

System Reliability ◽

Criticality Assessment

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Maintenance, Reliability and Condition MonitoringLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By JVE International Ltd.

Classification of a cracked-rotor system during start-up using Deep learning based on convolutional neural networks

A numerical study of rotor eccentricity and dynamic load in induction machines for motor current analysis based diagnostics

Crack identification for bridge condition monitoring using deep convolutional networks trained with a feedback-update strategy

Impact of climate change on railway operation and maintenance in Sweden: A State-of-the-art review

Robust vibration-based faults diagnosis machine learning model for rotating machines to enhance plant reliability

PM4 SMP model proposed for system reliability criticality assessment and maintainability improvement

Maintenance, Reliability and Condition Monitoring
Latest Publications