Machines Testing and Maintenance
A section of Machines (ISSN 2075-1702).
Section Information
“Machine Testing and Maintenance” is a Section of Machines (ISSN 2075-1702) focusing on the discussion of emerging solutions leveraging the machine testing and maintenance research field. It publishes research articles, reviews, communications, and letters.
Subject areas include but are not limited to:
- Reliability and testing;
- Accelerated aging testing of machine-related components;
- Aging and lifetime prediction;
- Condition monitoring and maintenance;
- Tests, sensors, and instrumentation for diagnostics and maintenance;
- Data analytics and information fusion for condition monitoring;
- Electromechanical systems, machines, and related components;
- Failure mechanisms and failure modes;
- Fault analysis and diagnostics;
- Fault tolerance and robust control strategies;
- Lifetime modeling and RUL estimation tools, life extension techniques;
- Prognostics;
- Artificial intelligence and machine-learning-assisted solutions for fault detection, diagnosis, and prognosis.
Editorial Board
Special Issues
Following special issues within this section are currently open for submissions:
- Monitoring and Fault Identification Based on Artificial Intelligence Methods (Deadline: 31 May 2023)
- Fault Detection, Diagnosis and Prognostics of Machines: Applications and Advances (Deadline: 31 May 2023)
- Machinery Condition Monitoring and Analytics (Deadline: 31 May 2023)
- Fault Diagnosis and Fault-Tolerant Control of Power Converters and Electric Drives (Deadline: 15 June 2023)
- Data-Driven Fault Diagnosis for Electric Drives (Deadline: 15 June 2023)
- Noise and Vibration in Machine Tools (Deadline: 30 June 2023)
- Vibration Analysis for Structural Health Monitoring (Deadline: 30 June 2023)
- Machine Learning for Fault Diagnosis of Wind Turbines (Deadline: 30 June 2023)
- Recent Advancements in Maritime Net Zero with Emphasis on Condition Monitoring and Maintenance and Sustainable Design (Deadline: 30 June 2023)
- Condition-Based Maintenance, Instrumentation and Data Analysis Methods Aiming Efficient Operation of Internal Combustion Engines (Deadline: 30 June 2023)
- Advances in Artificial Intelligence for Vibration-Based Life Cycle Assessment (Deadline: 30 June 2023)
- Machine Health Diagnosis & Prognosis by Advanced Sensing and Data Driven Techniques (Deadline: 15 July 2023)
- Monitoring and Diagnostics in Cyber-Manufacturing Environment (Deadline: 31 July 2023)
- Applied Nonlinear Dynamics, Vibration, and Control in Industrial Systems (Deadline: 31 July 2023)
- Deep Learning and Machine Health Monitoring (Deadline: 31 July 2023)
- Transient Modelling of Engines and Cycles: Condition Monitoring and Optimal Control (Deadline: 31 July 2023)
- Recent Trends in Sensor Fusion Algorithms Using Intelligent Signal Processing Methods (Deadline: 30 August 2023)
- Modern Electrical Machines and Their Applications (Deadline: 31 August 2023)
- Fault Diagnosis and Control for UAVs (Deadline: 31 August 2023)
- 10th Anniversary of Machines—Feature Papers in Fault Diagnosis and Prognosis (Deadline: 31 August 2023)
- Machine Learning and Artificial Intelligence in Machinery Condition Monitoring (Deadline: 1 September 2023)
- Railway Vehicle Maintenance 4.0 (Deadline: 30 September 2023)
- Machine Learning for Machinery Prognostics and Health Management (Deadline: 30 September 2023)
- Machine Learning for Predictive Maintenance (Deadline: 30 September 2023)
- Applied Artificial Intelligence for Data-Driven Predicative Maintenance of Equipment (Deadline: 15 October 2023)
- Fault Tolerant Control of Induction Motor (Deadline: 31 October 2023)
- Towards Intelligent Machinery Health Monitoring: Detection, Diagnostics, and Prognostics (Deadline: 31 October 2023)
- Tool Wear in Machining (Deadline: 31 October 2023)
- Design Methods for Mechanical and Industrial Innovation (Deadline: 31 October 2023)
- Advances in Fault Diagnosis and Anomaly Detection (Deadline: 31 October 2023)
- Remaining Useful Life Prediction for Rolling Element Bearings (Deadline: 31 October 2023)
- Fault Diagnosis and Fault-Tolerant Control of Power Machinery: Developments and Challenges (Deadline: 15 November 2023)
- Condition Monitoring of Machine Tools (Deadline: 15 November 2023)
- Design and Experimental Activity of Testing Machines and Mechanical Test Rigs (Deadline: 15 November 2023)
- Optimization and Modelling of Synchronous Permanent Magnet, Synchronous Reluctance and Induction Machines (Deadline: 15 November 2023)
- Data-Driven Fault Diagnosis for Machines and Systems (Deadline: 20 November 2023)
- Electrical Machine Health Monitoring and Fault Diagnosis (Deadline: 20 November 2023)
- Application of Deep Learning in Fault Diagnosis (Deadline: 30 November 2023)
- New Advances in Rotating Machinery (Deadline: 30 November 2023)
- Intelligent Maintenance and Health Management of Electromechanical Equipment (Deadline: 30 November 2023)
- Intelligent Monitoring, Diagnostics, and Prognostics of Machinery (Deadline: 1 December 2023)
- Advances in Noises and Vibrations for Machines (Deadline: 31 December 2023)
- Advances in Intelligent Fault Diagnosis of Rotating Machinery (Deadline: 31 December 2023)
