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
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Fault Diagnosis and Fault-Tolerant Control of Power Machinery: Developments and Challenges (Deadline: 15 November 2024)
- Design Methods for Mechanical and Industrial Innovation (Deadline: 15 November 2024)
- Design and Characterization of Engineered Bearing Surfaces (Deadline: 30 November 2024)
- Condition Monitoring and Fault Diagnosis for Rotating Machinery (Deadline: 30 November 2024)
- Remaining Useful Life Prediction for Rolling Element Bearings (Deadline: 30 November 2024)
- Application of Sensing Measurement in Machining (Deadline: 30 November 2024)
- Design and Experimental Activity of Testing Machines and Mechanical Test Rigs (Deadline: 30 November 2024)
- Vibration Detection of Induction and PM Motors (Deadline: 30 November 2024)
- Performance-Explainable Fault Diagnosis and Advanced Control Techniques for Industrial Dynamic Systems (Deadline: 30 November 2024)
- AI-Driven Reliability Analysis and Predictive Maintenance (Deadline: 30 November 2024)
- Machinery Condition Monitoring and Intelligent Fault Diagnosis (Deadline: 30 November 2024)
- Advanced Signal Processing Methods and Deep Neural Networks for Machine Fault Diagnosis (Deadline: 30 November 2024)
- Data-Driven Approaches regarding Dynamic Modelling, Diagnostics and Prognostics of Complex Mechanical Structures (Deadline: 30 November 2024)
- Error Measurement, Analysis, and Compensation Technology for CNC Machine Tools (Deadline: 31 December 2024)
- Machine Learning Based Predictive Maintenance and Condition Monitoring (Deadline: 31 December 2024)
- Advances in Intelligent Fault Diagnosis of Rotating Machinery (Deadline: 31 December 2024)
- Advances in Machinery Condition Monitoring, Diagnosis and Prognosis (Deadline: 31 December 2024)
- Advanced Control and Fault Detection Techniques in Hydraulic Machines and Systems (Deadline: 1 January 2025)
- Compensation for Geometric Errors and Improvement in Accuracy through Innovative Design and Advanced Control Strategies (Deadline: 28 February 2025)
- Machine Learning for Fault Diagnosis of Wind Turbines, 2nd Edition (Deadline: 28 February 2025)
- Prognostics and Health Management and Structural Health Management in Mechanical and Manufacturing Systems (Deadline: 28 February 2025)
- Advanced Technologies in Vibration Measurement and Active Control of High-Speed Rotational Machines (Deadline: 31 March 2025)
- Signal Processing and Artificial Intelligence Technology for High-End Equipment Fault Diagnosis (Deadline: 30 April 2025)
- State of the Art in the Field of Machine and System Testing to Assist in the Diagnosis and Prognosis of Failures (Deadline: 30 April 2025)
- Vibration-Based Machines Wear Monitoring and Prediction (Deadline: 30 April 2025)
- Data-Driven Fault Diagnosis for Machines and Systems (Deadline: 30 April 2025)
- Electrical Machine Health Monitoring and Fault Diagnosis (Deadline: 30 April 2025)
- Advanced Techniques for Fault Detection, Diagnosis, and Prognostics in Machinery (Deadline: 30 April 2025)
- Computational Intelligence for Fault Detection and Classification (Deadline: 31 May 2025)
- Advances in Noises and Vibrations for Machines (Deadline: 30 June 2025)
- Cutting-Edge AI and Deep Learning Techniques for Anomaly Detection (Deadline: 30 August 2025)
- Reliability Analysis and Fault Diagnosis of Safety-Critical Systems Using Data-Driven Approaches (Deadline: 31 August 2025)
