Special Issue "Sensing Technology and Data Interpretation in Machine Diagnosis and Systems Condition Monitoring"
Deadline for manuscript submissions: 31 August 2020.
Interests: signal processing; measurement and control; noise and vibration; transport
Department of Information Science, National Taiwan University of Education, Taiwan
Interests: development of numerical methods; modelling of optical effects; visual cryptography; nonlinear dynamical systems and chaos
Special Issues and Collections in MDPI journals
Interests: structural durability and integrity assessment; health monitoring; damage modeling and identification; disaster prevention and mitigation; multiscale vibration and dynamics
Interests: data analysis, engineering; applied and computational mathematics; dynamic analysis; mechanical engineering; mechatronics; vibration analysis; signal analysis
Interests: machine and structure dynamics; vibro-acoustic behavior of machines and structures
Interests: structural analysis; finite element modeling; structural dynamics; automobile engineering; nonlinear analysis; dynamic analysis
I would like to interest you in this Special Issue: Sensing Technology and Data Interpretation in Machine Diagnosis and Systems at Sensors and cordially invite you to submit your articles. The purpose of this Special Issue is to compile studies on knowledge, research practice, and forecast development trends in the field of machine and system diagnostics, with particular emphasis on measuring systems and signal processing methods to extract useful information. The dynamic development of the Smart concept in all engineering areas indicates the need for consolidation and exchange of knowledge in this area, for which this Special Issue is an ideal platform. Hence, in terms of engineering applications and research problems, we are not limiting the articles that can be submitted to this Special Issue.
Machine diagnosis and systems condition monitoring are fundamental processes for decision making protocols in all mechanical systems. Control and steering of all systems determine its operational and functional activities. These decisions must be made based on proper data. Therefore, the most appropriate data must first be obtained and then the important information components must be separated. All components of the logical decision path that may degrade the quality of the data acquired or reduce operational reliability must be avoided and eliminated. Therefore, it is important to correctly indicate the data acquisition points, select the most suitable sensors, correctly complete the entire measurement path and dedicated signal analysis.
This Special Issue will focus on recent attempts in development of sensors and sensing technology due to novel possibilities in machine diagnosis and systems condition monitoring to underline this new knowledge and application, especially for the trend in smart machines and systems with self-diagnosis properties. An example of this is the concept of smart cities and intelligent systems, which is trending worldwide. The huge demand for continuous comprehensive information in relation to all areas of the city's functioning, especially transport, is a considerable challenge. This Special Issue will collect interdisciplinary approaches on sensors and sensing technology in machine diagnosis and systems condition monitoring, including the consideration and development of some innovative directions in research.
The potential scope includes but is not limited to the following:
- Methods and apparatuses for machine diagnosis and systems condition monitoring;
- Signal processing, data fusion, and deep learning in sensor systems;
- Damage detection and identification in machines;
- Condition monitoring in systems;
- Sensors in control and steering of the system;
- 5G/6G technologies;
- Identification of machinery non-stationary and anomalous operation;
- Advanced signal processing methods for machine diagnosis and condition monitoring;
- Practical cases of machine diagnosis and systems condition monitoring;
- Machine and system assessment under noisy conditions;
- Intelligent transport systems;
- Sensor network and relationships;
- Smart/intelligent sensors;
- Sensor technology and application for machine diagnosis and systems condition monitoring;
- Internet of Things for machine diagnosis and systems condition monitoring;
- Localization and object tracking in smart cities;
- Machine learning applications;
- Complex machine and system analysis using multiple sensors;
- Techniques for online, real-time system condition monitoring.
Prof. Dr. Rafal Burdzik
Dr. Minvydas Ragulskis
Dr. Maosen Cao
Dr. Radosław Zimroz
Dr. Chaari Fakher
Dr. Łukasz Konieczny
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- machine diagnosis
- systems condition monitoring
- sensing technology
- smart city