Sensors I Machines
Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and its applications. It publishes comprehensive reviews and regular research papers. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. The full experimental details must be provided so that the results can be reproduced.
Machines (ISSN 2075-1702) is an international, peer-reviewed, open access journal on machinery and engineering, published monthly online by MDPI. The International Federation for the Promotion of Mechanism and Machine Science (IFToMM) is affiliated with Machines and its members receive a discount on the article processing charges.
Journal Rank: JCR – Q2 in Engineering, Mechanical (73/184) and Engineering, Electrical and Electronic (171/369)
Joint Special Issue information: Sensor-based condition monitoring and non-destructive testing technologies/systems have become especially important for most industrial sectors and academic research; the most challenging topic in this field is sensor-based condition monitoring of machinery and non-destructive testing of materials.
The main challenges for these areas are as follows:
Most industrial assets/machineries work in non-stationary operations;
Most excitations of materials and, therefore, sensor outputs are non-stationary.
One of the most important industrial requirements for sensor-based condition monitoring and non-destructive testing technologies is effective monitoring/testing at an early stage of damage development.
Addressing these challenges requires novel developments related to sensors and intelligent sensors, time–frequency and the non-linear higher-order spectral analysis of sensor data and adaptation of sensor-based monitoring/testing technologies to non-stationary conditions related to machineries and materials.
Therefore, this Special Issue focuses on sensor-based condition monitoring and non-destructive testing technologies and systems for machineries/structures, paying attention to novel developments related to sensors and intelligent vibration sensors, signal processing of sensor data, artificial intelligence and machine learning for monitoring/testing decision making and the adaptation of sensor-based monitoring/testing technologies to non-stationary conditions related to machineries and materials.
This Special Issue will not cover non-novel “case study manuscripts”. Potential authors need to provide clear statements of manuscript novelties, which should be based on comprehensive state-of-the art reviews.
Joint special issue Guest Editor: Prof. Dr. Len Gelman
Sensors: https://www.mdpi.com/journal/sensors/special_issues/6U4312044U
Machines: https://www.mdpi.com/journal/machines/special_issues/5A3H7OU2RZ
Further information at: LINK SLIDE
International Journal on Condition-Based and Predictive Maintenance
International Journal on Condition-Based and Predictive Maintenance (IJCPM) aims to publish high-quality, original research on the development, implementation, and advancements in condition-based monitoring and predictive maintenance strategies.
Authors regularly registered to WCCM 2026 can submit their papers for a Special issue of the open access journal International Journal on Condition-Based and Predictive Maintenances.
For full information, go to: https://www.icck.org/ijcpm
Computer Modeling in Engineering & Sciences
Authors regularly registered to WCCM 2026 can submit their papers for a Special issue of the open access journal Computer Modeling in Engineering & Sciences: “Data–Physical Driven Methods for Health Monitoring, and Fault Diagnosis & Prognosis”
For full information, go to: https://www.techscience.com/CMES/special_detail/fault-diagnosis-prognosis
La Metallurgia Italiana
Certain papers may be considered for publication in the AIM journal La Metallurgia Italiana – International Journal of the Italian Association for Metallurgy, which is covered in the Science Citation indexed by Clarivate Analytics (formerly Thomson Reuters), and in Scopus by Elsevie
For more information on La Metallurgia Italiana, go to: https://www.aimnet.it/eng/rivista.php