Maintenance, Reliability and Condition Monitoring

Devoted to the fields of plant maintenance, asset management, reliability, condition monitoring and related areas

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Maintenance, Reliability and Condition Monitoring

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Maintenance, Reliability and Condition Monitoring (MARC) ISSN (Online) 2669-2961 is devoted to a broad area with multi-disciplinary interests in the fields of plant maintenance, asset management, reliability, condition monitoring and related areas, ranging from fundamental research to real-world applications.

Established in 2021 and published 2 times a year (semiannually). All volumes are available at https://doi.org/10.21595/mrcm

Articles

Most cited (10) Most downloaded (10) Most read (10) Recently published (20)

Maintenance, Reliability and Condition Monitoring

Articles

Advancing industrial gas turbine field performance testing: a review of procedures and key considerations with emerging technologies

Criticality mapping of a system in the mining industry using Bayesian network

A structured approach for shifting from TBM to CBM in the maintenance of freight locomotives

Multi-stage quantitative risk assessment of a critical system in mining industry

Performance assessment and optimization of multi-rotor versus single-rotor turbine in Norwegian offshore wind farm’s

Quantitative assessment of RAM driven risk matrix of offset printing machine

Sensor data fusion and cutting tool status recognition by k-means clustering

Application of artificial neural networks for detecting compressor fouling in industrial gas turbines: a case study of an aero-derivative unit at an oil and gas facility in the Niger Delta, Nigeria

Bearing defects classification using wavelet time scattering features and machine learning techniques

Machine learning-based predictive modeling for surface roughness in abrasive machining

Impact analysis of field maintenance practices on reliability metrics

Asset Management decision-making through data-driven Predictive Maintenance – an overview, techniques, benefits and challenges

Strain response prediction of offshore wind turbine tower under free vibration

An improved semi-supervised prototype network for few-shot fault diagnosis

Maintenance decision-making and its relevance in engineering asset management

Diagnosis of localized defects in floating bush bearings through time-frequency domain analysis

Stakeholder dynamics and their impact on value creation for industrial maintenance projects-a literature review

Optimizing and reliability analysis by firefly and genetic algorithms for a quadcopter

Vibration influence of different types of heavy-duty trucks on road surface damage

Reliability calculation with error tree analysis and breakdown effect analysis for a quadcopter power distribution system

Reliability of quantitative risk models: a case study from offshore gas production platform

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

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

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

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

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