Artificial Intelligence in the Process Industry
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 9896
Special Issue Editors
Interests: modeling and simulation of process industry; integration optimization; energy conservation and emission reduction; process systems engineering; process modeling, optimization and integration; life cycle analysis
Special Issues, Collections and Topics in MDPI journals
Interests: energy system engineering; sustainability assessment with life cycle perspective; process modeling and optimization for energy conservation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of a new information technology, such as the Internet of Things and artificial intelligence, the process of industrial intelligence and informatization is accelerating. As the key technology of industrial intelligence, artificial intelligence (AI) technology has received wide attention. AI technologies have successfully been applied in process control, industrial synthesis and analysis, manufacturing (such as planning and configuration), waste minimization, intelligent CAD, intelligent instrumentation (such as monitoring and data analysis), fault diagnosis and treatment, etc. However, industrial production has been transformed from a traditional high-volume process to a small-volume process and is increasingly flexible. Process uncertainty and operation complexity are increasing exponentially. Thus, to promote the development of AI technologies in the industrial sector, many challenges and problems need to be solved.
This Special Issue on " Artificial Intelligence in the Process Industry " aims to summarize the latest progress in the methods and applications of AI in the process industry to address the uncertainty and complexity of the intelligent transformation in the future industrial sector. Topics will include, but are not limited to:
- Process synthesis and analysis;
- Process control and fault diagnosis;
- Process modeling and simulation;
- Industrial process optimization;
- Soft sensors;
- Digital twin;
- Smart factory;
- Smart manufacturing;
- Machine learning applications in the process industry.
Dr. Yi Man
Dr. Sheng Yang
Dr. Yusha Hu
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. Processes is an international peer-reviewed open access monthly 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 2400 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.
Keywords
- artificial intelligence
- process industry
- modeling and simulation
- digital twin
- machine learning
- industrial meta models
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