Intelligent Designing, Measuring and Control for Frontier Instrument and Equipment

Dear Colleagues,

We invite you to submit your original research or overview papers to this Special Issue on the “Intelligent Designing, Measuring and Control for Frontier Instrument and Equipment” published in Energies.

Advanced designing and control approaches, together with abundant measuring information, greatly enhance the performances of frontier instrument and equipment, regarding sustainability, vibration isolation, noise reduction, condition monitoring, fault diagnosis, autonomous behaviors, etc. Benefitting from interdisciplinary research into psychology, dynamics, system modeling, signal processing, control theory and computer science, intelligent designing, measuring and control approaches shed light in order to improve the intelligent level of frontier equipment, which paves the way to the future of smart equipment. However, the application and integrations of intelligent approaches, including neural networks, cognitive processes, fast computing, machine learning, and smart configuration, in frontier instrument and equipment are still facing great challenges and opening questions.

Due to additional sensing and communicating information, measuring and control approaches become complicated and complex in relation to vibration mechanism analysis, which impedes the knowledge of intelligent approaches from transferring to frontier equipment.

The main purpose of this special focus is to review state-of-the-art solutions to present challenges and discuss possible applications of intelligent approaches in designing, measuring, and control of frontier equipment. Topics of interest for this Special Issue include but are not limited to:

• Vibration analysis, isolation, and reduction in frontier instrument and equipment;
• Mechanical design, smart configuration, structural optimization of modern instrument and equipment;
• Intelligent perceptive and measurement approaches of operational information;
• Intelligent control and learning-based control approaches for frontier instrument and equipment;
• Augmentation and interaction of designing, measurement and control;
• Artificial intelligence, data fusion, signal processing and intelligence tests for frontier instrument and equipment;
• Other intelligent applications in frontier instrument and equipment.

Prof. Dr. Jing Liu
Dr. Jinglong Chen
Dr. Yimin Chen
Dr. Anil Kumar
Guest Editors

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 submissions that pass pre-check are 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. Energies 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 2600 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.