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:
- Machine Learning Based Predictive Maintenance and Condition Monitoring (Deadline: 31 July 2025)
- Cutting-Edge AI and Deep Learning Techniques for Anomaly Detection (Deadline: 30 August 2025)
- Design and Experimental Activity of Testing Machines and Mechanical Test Rigs (Deadline: 31 August 2025)
- Reliability Analysis and Fault Diagnosis of Safety-Critical Systems Using Data-Driven Approaches (Deadline: 31 August 2025)
- Machine Learning for Fault Diagnosis of Wind Turbines, 2nd Edition (Deadline: 31 August 2025)
- Compensation for Geometric Errors and Improvement in Accuracy Through Innovative Design and Advanced Control Strategies (Deadline: 31 August 2025)
- Vibration Detection of Induction and PM Motors (Deadline: 31 August 2025)
- Prognostics and Health Management and Structural Health Management in Mechanical and Manufacturing Systems (Deadline: 30 September 2025)
- Intelligent Fault Detection and Diagnosis in Condition-Based Maintenance (Deadline: 30 September 2025)
- Intelligent Vibration Control and Condition Monitoring in Smart Structures and Electromechanical Systems (Deadline: 30 September 2025)
- Advanced Techniques for Fault Detection, Diagnosis, and Prognostics in Machinery (Deadline: 31 October 2025)
- In Situ Monitoring of Manufacturing Processes (Deadline: 31 October 2025)
- State of the Art in the Field of Machine and System Testing to Assist in the Diagnosis and Prognosis of Failures (Deadline: 31 October 2025)
- AI-Driven Intelligent Perception and Diagnosis of Mechanical Equipment (Deadline: 31 October 2025)
- Machine Learning-Driven Predictive Maintenance: Advanced Diagnostics and Smart Monitoring (Deadline: 30 November 2025)
- Reliability in Mechanical Systems: Innovations and Applications (Deadline: 30 November 2025)
- Systems Modelling, Simulation and Experimentation for Condition Monitoring (Deadline: 30 November 2025)
- Vibration Energy Harvesting and Intelligent Monitoring for Rotating Machinery (Deadline: 30 November 2025)
- Advances in Dynamics and Vibration Control in Mechanical Engineering (Deadline: 30 November 2025)
- Error Measurement, Analysis, and Compensation Technology for CNC Machine Tools (Deadline: 30 November 2025)
- Neural Networks Applied in Manufacturing and Design (Deadline: 31 December 2025)
- Advances in Condition Monitoring of Distributed Energy Equipment and Systems (Deadline: 31 December 2025)
- Vibration-Based Machines Wear Monitoring and Prediction (Deadline: 31 December 2025)
- Reliable Testing and Monitoring of Motor-Pump Drives (Deadline: 31 December 2025)
- AI-Driven Reliability Analysis and Predictive Maintenance (Deadline: 31 January 2026)
- Green Fault Diagnosis: Energy-Efficient and Eco-Friendly Machinery Maintenance (Deadline: 31 January 2026)
- Digital Twins and Intelligent Systems for Condition-Based Industrial Maintenance (Deadline: 31 January 2026)
- Signal Processing and Artificial Intelligence Technology for High-End Equipment Fault Diagnosis (2nd Edition) (Deadline: 31 January 2026)
- Recent Advances in Machinery Condition Monitoring and Fault Diagnosis: From Typical Algorithms to the Era of AI Blooming (Deadline: 31 January 2026)
- Fault Diagnosis and Fault Tolerant Control in Mechanical System (Deadline: 31 January 2026)
- Data-Driven RUL Prediction: Innovations in Generalization, Uncertainty, and Efficiency for Industrial PHM (Deadline: 28 February 2026)
- AI-Driven Intelligent Maintenance and Health Management for Complex Industrial Systems (Deadline: 28 February 2026)
- Condition Monitoring and Fault Diagnosis (Deadline: 1 March 2026)
- Intelligent Condition Monitoring and Fault Diagnosis (Deadline: 31 March 2026)
- Nonlinear Vibration Analysis of Advanced Machines and Mechanical Systems (Deadline: 31 March 2026)
- Data-Driven Fault Diagnosis for Machines and Systems, 2nd Edition (Deadline: 30 June 2026)
- Deep Learning-Based Intelligent Fault Diagnosis (Deadline: 31 July 2026)
